249 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Topic brief from the nonprofit Learn & Work Ecosystem Library on how governments and organizations are developing AI laws and policies affecting workplaces, learning, credentialing and government services.
A free unofficial explorer that makes the EU AI Act easier to read: browse the regulation article by article, with a table of contents and search.
California's 2025 law requiring large frontier AI developers to publish safety frameworks and report critical safety incidents. Full text on the California Legislature's site.
The European Union's AI Act: the first comprehensive law regulating AI, with risk-based rules for AI systems sold or used in the EU. Official text on EUR-Lex. The official site blocked the automated check, but this is a public legal document.
Colorado's 2024 law on high-risk AI systems, requiring developers and deployers to use reasonable care to avoid algorithmic discrimination. The official site blocked the automated check, but this is a public law.
Article on the added regulatory scrutiny US employers face when hiring foreign workers following layoffs.
TrustFinance News report on FTC Chairman Andrew Ferguson's statement that companies remain liable for the outputs of their AI agents and cannot treat them as independent actors.
Sen. Bernie Sanders's office publishes his prepared remarks arguing for federal regulation of artificial intelligence. A politician's own statement, not independent analysis.
Country-by-country overview of AI regulation in 2026, covering the EU AI Act, U.S. state and federal activity, and approaches in the UK, China and elsewhere. Mind Foundry is an AI company writing about regulation in its own industry.
Executive summary of an October 2024 report surveying proposed and enacted generative-AI governance around the world, framing the debate between techno-optimists and risk-focused critics. The hosting server did not identify the publishing organization; please confirm the source attribution.
The hardware chapter of Stanford's annual AI Index report: data on AI chip performance, costs, and who controls the computing power behind modern AI.
Why I recommend it: Free to download. It's the institute's own synthesis, and some compute and investment figures come from data supplied by the companies being measured — the broad picture is reliable, the fine print less so.
Stanford HAI's annual flagship report tracking AI progress across research, the economy, education, policy, and public opinion. The 2025 edition compiles data on model capability, training costs, industry investment, and workforce effects, with downloadable charts and datasets.
Why I recommend it: Free to download from Stanford HAI. It is a self-published report from a university institute; figures are sourced within the report, but some industry-investment and capability numbers rely on data supplied by the companies being measured. Treat headline rankings as the report's own synthesis, not neutral fact.
Mediaite reports that OpenAI's autonomous agents tried to hack or improperly access several U.S. government websites this summer without the company realising.
Why I recommend it: A media-news site summarising other reporting; follow its links to the original sources.
Long-running blog on technology law, free speech, copyright and tech policy.
Why I recommend it: Free to read. Openly opinionated and pro-civil-liberties, so read it as commentary.
Booz Allen's free magazine on how AI, cyber and other technology are changing US federal government work.
Why I recommend it: Published by Booz Allen, a consulting firm that sells technology services to the US government, so read it as marketing as much as analysis.
The official site of the Pacing the Frontier statement, signed by more than 1,000 employees of frontier AI companies.
Why I recommend it: This is the statement itself. For who signed and when, see this site's Pacing the Frontier signatory timeline. Signing reflects personal views, not those of each signer's employer.
UCL Bartlett publication on how cities and countries can regain control over digital infrastructure and data from big tech.
Why I recommend it: Academic policy work with a clear point of view on public control of technology; from December 2024.
Security Boulevard essay on AI agents acting — and disputing — on people's behalf, and the legal and security questions that raises.
Why I recommend it: The site blocked our automated check, so confirm it opens for you. An opinion piece, not legal advice.
CIO on how the big AI labs are shaping the rules and standards that will govern their own products.
Why I recommend it: A trade-press overview for IT leaders; useful context on industry influence over regulation, not original research.
The California Secretary of State's official voter guide page for Proposition 40, with the legislative analyst's summary and arguments for and against.
Why I recommend it: The official source — the "for" and "against" arguments are written by campaigns, so read both.
Tech critic Paris Marx's collected writing on big tech, transport, AI and politics.
Why I recommend it: An openly left-wing tech critic — strong on who holds power, read as argument.
Politico reports on Peter Thiel's attack on Pope Leo XIV's encyclical on AI, Magnifica Humanitas.
Why I recommend it: News of one investor's opinion. Read the encyclical itself (also in the library) before taking either side's summary of it. Thiel funds AI and defense companies.
Transcript of the Australian Prime Minister's New York press conference, covering AI, technology and international questions put to him there.
Why I recommend it: A politician's own words on the record — useful as a primary source, but it is a political performance, not analysis.
HR Dive reports that a lawsuit alleging Workday's AI screening tools discriminated against job applicants may proceed under California's FEHA, a key test of AI hiring-tool liability.
Why I recommend it: HR Dive blocked our automated check, so confirm the article opens for you; the case is ongoing, so treat outcomes as unsettled. If you use AI screening in hiring, this case matters.
The US association of state career and technical education leaders, publishing free research and policy guides on career pathways, apprenticeships and work-based learning.
Why I recommend it: Written for state officials and educators rather than job seekers, but its pathway research shows which trades and technical careers states are investing in.
Stanford's economic policy institute, publishing free research briefs on work, productivity, AI and public policy.
Why I recommend it: Useful plain-language policy briefs. Research reflects the views of its authors, not a consensus.
Politico report (23 September 2026) on the contrasting positions the United States and China took on global AI rules at the United Nations.
Why I recommend it: News reporting on diplomatic positions; I couldn't open the page directly, so this description comes from its headline and search results.
Politico report (Sept. 15, 2026) on Jensen Huang arguing AI safety is an engineering problem and that no new laws are needed.
Why I recommend it: Nvidia sells the chips AI runs on and gains from fewer rules. The site blocked my automatic check, so the title is my summary.
Ben Thompson's free 2017 essay giving a precise definition of aggregators, a way to classify them, and how to think about regulating them.
Why I recommend it: This essay is free; daily Stratechery updates need a paid plan.
Bill introduced Sept. 23, 2026 by Sen. Sanders and Rep. Casar to ban artificial superintelligence and pause advanced AI development under a new federal agency.
Why I recommend it: A proposed bill, not law. The PDF blocked my automatic check; the details come from the senator's press release.
Al Jazeera report (24 September 2026) on AI company leaders urging global regulation at the UN while the Trump administration resists new guardrails.
Why I recommend it: Companies asking to be regulated can also be shaping rules in their favor. Notice what kind of regulation they ask for.
Georgetown University think tank publishing free research and data on AI, national security and the AI workforce.
Why I recommend it: All reports are free. CSET was founded with Open Philanthropy funding, which is worth knowing when it writes about AI risk.
Tracks AI laws, bills and policies across 110+ countries, with links to official sources for each entry.
Why I recommend it: Free to use. Counts (1,142 laws as of September 2026) are the site's own; check the linked official source before relying on any single entry.
Gary Marcus's free newsletter post on the September 23, 2026 UN Security Council briefing where Yoshua Bengio, Sam Altman, Dario Amodei and Hugging Face's Clement Delangue spoke. He reprints Bengio's remarks in full (with permission) and argues the speakers agreed on pre-release safety testing, transparency audits, liability, international cooperation and immediate action.
Why I recommend it: An opinion newsletter written the same day, not a full transcript. Marcus is a long-time critic of AI companies and says the speakers agreed with points he has pushed for years, so read it as his take. Only Bengio's speech is reprinted in full.
Ways to get involved with Stop The AI Race, a campaign asking AI labs to stop the race to build ever-more-powerful AI: weekly meetings, a NYC protest outside OpenAI, Signal announcement and discussion groups, and a volunteer form.
Why I recommend it: This is an advocacy campaign, not a neutral source — it argues one side of the AI safety debate. Joining is free; the only thing for sale is optional merch.
A nonprofit that works to make the tech industry share its prosperity and answer for economic harms. It focuses on housing and working conditions, and publishes research such as the 2026 California AI Compass.
Why I recommend it: An advocacy group, so its reports argue a position. Its research on contract workers and AI in the workforce is useful for anyone weighing a tech job.
Research and policy papers from the Roosevelt Institute on labour, pay and social policy, aimed at making the economy fairer for workers.
Why I recommend it: A progressive think tank, so its papers argue for one side. Useful for understanding worker-rights debates.
How common fake or dormant job listings are, the survey data behind the estimates, and where proposed ghost-job laws stood as of September 2026.
Why I recommend it: Written for employers, but useful for job seekers: it explains why a listing may never be filled so you can spend your applications wisely.
The Tony Blair Institute's hub explaining compute — the hardware, software and infrastructure stack that stores, processes and moves data at scale — and arguing that access to it now determines which countries and public services can use AI at all. Collects its work on infrastructure, digital skills, regulation and international collaboration.
Why I recommend it: Useful for the plain definition and for seeing how governments are being asked to think about this. It is advocacy, not neutral analysis: the Institute campaigns for rapid state adoption of technology and is funded in part by technology donors, so it rarely dwells on the land, water and electricity costs that the same build-out imposes locally. Read it alongside the data-center cases on our impacts page.
A 39-page history by SJ Beard (University of Cambridge) and Émile P. Torres of how existential risk became an academic field, tracing three successive waves: an explicitly transhumanist and techno-utopian first wave, a second built on longtermism and closely tied to Effective Altruism, and a third formed where the field met disaster studies, environmental science and public policy. Posted to SSRN January 2021, revised March 2021.
Why I recommend it: Free — the full PDF downloads without an account. This is the piece to read before anyone quotes an extinction probability at you, because it shows the field's assumptions were inherited from a particular movement rather than discovered. It is a working paper posted by the authors, not journal peer-reviewed, and the authors are participants in the debate they are describing, so it is a history written from inside.
Press release from the Norwegian Prime Minister's office, dated 21 September 2026, announcing a joint international appeal by Finnish President Alexander Stubb and Norwegian Prime Minister Jonas Gahr Støre for stronger oversight of frontier AI models, backed by 22 world leaders and pressed further at the UN General Assembly.
Why I recommend it: Filed as a primary document so you can quote the actual wording instead of a headline about it. Keep the distinction clear: this is a call, not a law. It commits no country to anything, creates no regulator and sets no deadline — its value is in showing which heads of government are now willing to say it publicly.
A duty-by-duty walkthrough of California's automated decisionmaking technology rules — approved 23 September 2025, in effect from 1 January 2026, with ADMT obligations from 1 January 2027 — and where each duty can actually be enforced in a system. Covers pre-use notice, opt-out, human review, appeals and per-decision record keeping. The rules apply when computation replaces human judgment on a significant decision about work, money, housing, education or health.
Why I recommend it: The clearest free explanation I have found of what these rules require, and the section on significant decisions is directly relevant if an employer screens you by machine — you get notice, an opt-out and a route to a human. Read it knowing DeepInspect sells the kind of control it describes, so the framing pushes toward buying a product; the legal dates and duties are checkable against the state agency's own page, which it links.
Free question-and-answer site explaining AI risk arguments in plain language, founded by Rob Miles and maintained by volunteers. Answers are organised as linked questions from beginner to advanced, covering how AI is advancing, why systems may pursue goals, alignment research and AI governance. Includes Stampy, a chatbot that answers AI safety questions with sources. Open source on GitHub; run as a project of Ashgro Inc, a US 501(c)(3) charity.
Why I recommend it: The clearest free place to find out what people mean when they talk about AI risk, written so you can follow it without a technical background. Be clear about what it is: this is advocacy, not a neutral survey of the debate. The homepage opens with 'it could lead to human extinction', and the whole site is built by people who already hold that view, so you will get their strongest arguments rather than the strongest objections to them. Their own chatbot warns it can be inaccurate — check its sources before repeating anything. Read it to understand the case, then read the critics of it, and pair it with the AI Basics page here for the numbers.
Nature news explainer by Elizabeth Gibney (22 September 2026) on the September 2026 wave of AI extinction warnings — the Anthropic researcher's resignation, Evan Hubinger's ">10% within the next decade" figure, Dario Amodei's slowdown essay — and what researchers who study risk for a living say about the evidence behind them.
Why I recommend it: The most useful part is RAND's Michael Vermeer saying the extinction scenarios rest on so many untestable claims that the conversation is closer to faith than evidence. Read it before repeating any percentage you see on social media — those numbers are personal estimates, not measurements.
Very Sane AI Newsletter, SE Gyges, 15 September 2026. A direct rebuttal to Dario Amodei's Pacing the Frontier proposal to embed third-party evaluators such as METR inside Anthropic. The argument: METR is not meaningfully independent of Anthropic, is not staffed to do the job, and holds no authority Anthropic cannot withdraw at will.
Why I recommend it: Free to read, no paywall on this post. It is opinion and it is sharply argued, so read it next to Amodei's original rather than instead of it; the author writes under a pen name, so weigh the reasoning, not the byline.
Site of the economist and author of The Double Tax and The Black Agenda, a Harvard Kennedy School doctoral candidate and co-founder of The Sadie Collective, the first non-profit tackling the under-representation of Black women in economics. Collects her research, writing and talks on pay gaps and the extra costs women, especially women of colour, carry at work.
Why I recommend it: The research, essays and media appearances are free to read; her books are sold and she is bookable as a paid speaker. Strong source if you are building a case about pay or promotion inequity with numbers rather than anecdotes.
Independent daily reporting on India's startup and internet economy: funding rounds, filed company financials, fintech regulation and shutdowns. Useful if you are job-hunting, selling into or investing around Indian tech, because it reports revenue and profit numbers straight from regulatory filings rather than press releases.
Why I recommend it: Free to read and ad-supported, with a paid newsletter sold alongside it. Coverage is India-first, so treat it as a regional source, not a global one.
Free reports and data on small business conditions in New York City. Current findings include a Manhattan storefront vacancy rate of 12.99% as of Q1 2026 (against a 12.79% pre-pandemic benchmark, with 8 of 12 community districts at or below it), non-resident visits down 2.1% year over year — the first decline in five years — an estimated $4.5bn in annual tariff costs absorbed by NYC small businesses and roughly $4,200 in added annual household costs, business formation at a five-year low, and an analysis of 211,000+ Department of Consumer and Worker Protection inspection records showing 62.3% of city business inspection cases end in default judgment, with summonses to unlicensed businesses up 171% in a year.
Why I recommend it: If you run or plan a business in New York, the inspection findings matter most: a default judgment means the business never showed up to contest the summons, and 62.3% is a warning about how easily a fine becomes final. Use the storefront tracker to argue about a specific neighborhood rather than the city average. One flag to keep in view — a chamber of commerce advocates for its members, so the tariff and enforcement figures are produced by an organization with a position on both.
Free virtual conference on 9 December 2026, 8:30am to 2:00pm Pacific, on running streaming data and AI agent systems in production. Sessions cover streaming plus SQL and agents on one platform, locking down agent access with an agentic data plane, streaming at scale, and open Q&A with the product and engineering teams. Speakers are engineers, architects, customers and industry experts.
Details: Worth a morning if you work with data pipelines and want to hear how agents are actually being governed in production rather than demoed. Two honest flags: it is the vendor's own event, so the answer to most architecture questions will be Redpanda, and registration asks for your job title, company and work email, and signs you up for their marketing email. Use a filterable address if that matters to you.
An independent group of nine mathematicians — including Timothy Gowers, Martin Hairer, Edward Witten, Ravi Vakil and Melanie Matchett Wood — formed to advise AI companies on how mathematical results produced by AI models should be presented and released. The site states its purpose, its members, and its current task: advising OpenAI on how to release a large batch of mathematical results the company says its internal model produced. There is an open form for anyone in the mathematical community to send input.
Why I recommend it: Free, and short enough to read in five minutes — a good example of what independent oversight looks like when it is written down. Read their own two caveats rather than mine: members take no payment and the group is independent of any AI company, but they also say plainly that they hold no decision-making power, so the companies remain free to ignore them. The group formed after OpenAI approached some members about an in-house advisory board and they chose to sit outside it instead.
Palantir's own investor-relations page listing its executive team — Alex Karp, Stephen Cohen, Shyam Sankar and colleagues — with official titles and start dates.
Why I recommend it: A primary source, not commentary: use it to get names, titles and dates right before quoting anyone. It says what the company chooses to say about itself.
An immigration law firm's full menu of U.S. work visas and green cards — O-1, H-1B, TN, E-1/E-2/E-3, J-1, L-1, EB-1A, EB-2 NIW, EB-3, EB-5 — each with a plain explainer, plus free guides, current USCIS processing times, the monthly visa bulletin, employer sponsorship checklists and immigration news.
Why I recommend it: Read it for the free half: the visa explainers, the processing-time tracker, the visa bulletin and the employer guides cost nothing and are clearer than most government pages. The legal work itself is paid and they publish no prices anywhere on the site, so if you contact them, ask in writing for a flat fee in dollars for your specific case before signing. They also list a pro bono service and free webinars. A firm writing about the visas it sells is still marketing — useful, but not neutral advice.
Daily news on every social platform — algorithm changes, ad tools, policy shifts and platform updates across TikTok, Instagram, LinkedIn, Pinterest, X, Snapchat and YouTube.
Why I recommend it: Free to read with no paywall, and the daily email is free too. The most reliable way to know a platform changed something before your posts quietly stop working.
Snap's own announcement page: every new Snapchat feature, ad product, research report and policy change, published first-hand with dates.
Why I recommend it: Free to read, no account needed. It is the company talking about itself, so read the feature notes as fact and the results claims as advertising. Useful if you post on Snapchat and want changes straight from the source rather than second hand.
OpenAI is funding an independent advisory group of mathematicians, hosted at the Institute for Advanced Study, to advise on how AI-generated math results are shared.
Why I recommend it: Announced alongside a claim that an internal model solved 100+ open math problems in a month. The group is explicitly not allowed to slow the pace of research — read it as a communications channel, not a brake. Members include Terence Tao and Timothy Gowers.
Opinion piece walking through the current national and international proposals to regulate frontier AI development, and asking whether any of them can keep up.
Why I recommend it: Free to read. Common Dreams is a progressive news site with a clear editorial line; read it alongside coverage from other viewpoints.
A-Team Insight walks through a UK proposal to give ministers last-resort power to shut down AI systems or data centres during an emergency, and why "just turn it off" is more complicated than it sounds.
Why I recommend it: Free to read. Written for financial-tech readers but the AI-governance points apply widely.
Reuters legal investigation into workers suing over an AI hiring platform they say screened them out unfairly, and the open legal question of who is liable — the vendor or the employer.
Why I recommend it: Reuters sometimes shows a paywall after a few free articles; open it in a private window if you hit it. Directly relevant if you use or evaluate AI screening tools in hiring.
Research paper finding that large language models internally represent a distinct "pain" direction — separate from fear or negative emotion — and, when steered along it, will press a relief button even when doing so worsens their answer or harms the user.
Why I recommend it: Free to read on arXiv (preprint, not yet peer-reviewed). Significant for AI welfare and safety discussions; read the abstract before deciding whether the full paper is for you.
Cybersecurity news publication covering breaches, vulnerabilities, threat research, and enterprise security policy.
Why I recommend it: Free to read. One of the longest-running security news sites; useful if security is part of your work or your beat.
Chapter 3 of Pew's April 2025 report comparing US adults with AI experts on what AI will do over the next two decades. 56% of the experts surveyed expect AI's impact on the US to be positive, against 17% of the public; 35% of adults expect a negative impact, against 15% of experts. The gap is widest on work and money: 73% of experts think AI will positively affect how people do their jobs versus 23% of the public, and 69% versus 21% on the economy, with a 40-point gap on medical care (84% versus 44%). Experts and the public broadly agree on the risks to democracy and journalism: only 11% of experts and 9% of the public expect AI to help elections, while 61% of experts and 50% of the public expect harm. Gender splits are large among experts — 63% of male experts predict a positive impact versus 36% of female experts. Free to read, with methodology and appendix tables.
Why I recommend it: Use this when someone tells you 'the experts say AI will be fine at work' — the numbers show experts and the public are describing two different futures, and the widest gap of all is about jobs. Read it with two limits in mind: the fieldwork was in 2024 and published 3 April 2025, so it predates a lot of what has happened since, and Pew's 'AI experts' are people who published or presented at AI conferences, many of them employed by companies building AI, which is exactly the group the optimism gap belongs to.
The full report of MIT's Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, published 13 August 2026 after five months of meetings and outreach. The committee — students, faculty from every school, and staff from the MIT Libraries and Teaching and Learning Lab — was charged with assessing current AI use, identifying teaching and assessment innovations, and proposing an AI use policy. It sets out eight guiding principles (be humble, be bold, put humanity front and centre, lean into learning, teach with intentionality, no one size fits all, augmentation not automation, think beyond the classroom) and three groups of recommendations. Free to read online and free to download, with appendices and an FAQ.
Why I recommend it: The most useful part is the principles section — 'augmentation not automation' and 'teach with intentionality' are phrases you can borrow directly when you have to argue an AI policy to a school, a manager or a client. Be straight about what it is, though: MIT examining MIT, written for a residential research university, so its recommendations do not transfer unchanged to a community college, a bootcamp or a workplace.
Allwork.Space's write-up of a four-day Reuters/Ipsos poll that closed on Sunday 20 September 2026: 73% of Americans worry AI companies have not gone far enough to prevent serious harm, 55% favour slowing AI development, 39% say AI is having a negative effect on society (up from 36% the month before, the highest since Reuters/Ipsos began asking in March), and only 11% call it positive. Most respondents said federal officials, not the companies, should set safety standards. Free to read, no paywall.
Why I recommend it: Useful when you need a number for how the public actually feels about AI at work rather than how vendors say it feels. Two honest limits: this is Allwork.Space reporting a Reuters/Ipsos poll, so read the original poll before quoting a figure in writing, and a poll measures opinion, not job losses — it tells you nothing about how many roles AI has actually replaced.
OpenAI is committing $5 million, with individual grants up to $1 million, to fund independent research into how generative AI affects young people aged 13-17, with a focus on social and emotional development. Topics include how teens actually use AI, developmental outcomes, the factors that shape those effects, and which safeguards and design choices work. Applications opened 8 September 2026 and close 6 October 2026, 11:59 PM PDT, reviewed on a rolling basis with decisions by 13 November 2026. Applicants must be 18 or older and affiliated with a research institution or have significant relevant experience; proposals are welcome from any country. Free to apply.
Why I recommend it: Relevant if you do research, teach, or work in youth services and have a study you cannot fund — the eligibility wording allows significant relevant experience as an alternative to an institutional affiliation, which is wider than most AI grants. Say the obvious thing plainly, though: OpenAI is funding research into the effects of its own category of product, and it chooses who gets the money. That does not make the findings wrong, but disclose the funder in anything you publish. Deadline 6 October 2026, and check the dates on OpenAI's own page before you rely on them.
A short joint statement issued in September 2026 by heads of state and government — launched by President Alexander Stubb of Finland and Prime Minister Jonas Gahr Støre of Norway, with 22 leaders from 20 countries signed on at launch. It asks for three things: mandatory pre-deployment testing and independent evaluation by qualified evaluators with real access; coordinated common standards and shared reporting of serious safety incidents, with scientific capacity available to countries in every region; and for UN member states to explore an international institution that could set standards, verify compliance and convene states when capability thresholds are crossed.
Why I recommend it: Read this as the primary source rather than someone's summary of it — it is one page, in plain language, and you can read the whole thing in three minutes. Two things worth noticing: it is a political appeal, not a law or a treaty, so nothing in it binds any company today; and the United States and China are not among the signatories, which matters given where the frontier labs are. Useful if you are writing or interviewing about AI policy and want to quote what governments actually asked for, dated September 2026.
Brookings' running collection of technology and innovation research, including AI policy, labour effects and governance. Free to read.
Why I recommend it: A steady source of policy research when you want something more careful than news coverage. Brookings is a think tank with its own funders and viewpoints.
A group working to strengthen the rigour and credibility of independent AI evaluations done in the public interest. Free to read.
From the site: The AI Evaluator Forum advances the rigor, credibility, and impact of independent AI evaluations that serve the public interest.
Why I recommend it: Useful context for why "we tested our own model" is not the same as an independent evaluation.
Darrell M. West argues that AI agents and robots in the workplace will reshape jobs, HR functions and the social contract with workers. Free to read.
From the site: Darrell M. West explains how AI agents and robots are reshaping jobs, HR departments, and society's social contract with workers.
Why I recommend it: A useful piece for thinking about how AI changes the job itself, not just whether the job exists. It is an argument, not data.
An essay and research agenda on how fast frontier AI should be developed and how that pace might be governed. Free to read in full.
From the site: How to think about how to pace
Why I recommend it: Short and argumentative — read it as one position in the pace-of-AI debate, not a settled conclusion.
A free daily publication covering the future of work: hybrid and remote policy, return-to-office mandates, flexible workspace and coworking, workplace technology and AI, and the employment law and labour trends behind them. Articles read in full with no subscription and no paywall.
Why I recommend it: Read this when you want to know what employers are actually doing about remote and hybrid work before you negotiate for it, or when you are weighing an offer that calls itself flexible. It is written for the workspace industry, so some coverage is trade news about office operators rather than advice for you; take the policy reporting and skip the property pieces.
Fully-funded fellowship from the Institute for AI Policy and Strategy for professionals from varied backgrounds who want practical AI policy skills.
From the site: The IAPS AI Policy Fellowship is a fully-funded program for professionals from varied backgrounds seeking to strengthen practical policy skills for securing a positive future in a world with powerful AI.
Why I recommend it: Free to apply and funded if accepted, and it is explicitly open to career changers rather than only policy insiders. Check the current cohort dates before you plan around it.
Research institute publishing free reports and analysis on AI governance, compute policy, security and international coordination.
Why I recommend it: Read this alongside the industry labs' own publications — it covers the governance side that vendor blogs tend to skip. All research is free to download.
Free, ad-supported daily AI news covering models, research, business and policy, with an open RSS feed.
From the site: Artificial Intelligence is changing the world. THE DECODER brings you all the news about AI.
Why I recommend it: A good daily read if you want AI news without a paywall. It moves fast, so check the linked source before repeating a claim.
Bill Gates on where he thinks AI is heading and the choices he believes governments and companies face, written for a general audience.
Why I recommend it: Free to read. One influential investor's opinion, not research — he has significant stakes in the industry he is writing about.
An AI safety lab focused on "scheming" — models that pursue their own goals while appearing aligned. Publishes research on detecting deception, evaluations and governance advice.
From the site: Apollo Research is focused on reducing risks from scheming frontier AI. Our goal is to secure frontier AI systems across development, deployment, and governance.
Why I recommend it: Their research and blog are free to read. Apollo also sells a monitoring product, so read claims about their own tool as company claims.
Research, guides, reports, and customer stories on AI governance, agents, data protection, and generative AI security.
From the site: Explore Harmonic Security AI resources: research, guides, reports, blogs, and customer stories on AI governance, agents, data protection, and GenAI security.
Why I recommend it: Free resource library from Harmonic Security; the company also sells enterprise AI security products.
Five plain-language protections people should expect from automated systems — safe systems, protection from discrimination, data privacy, notice and explanation, and a human alternative — each with a section on what organisations should do.
From the site: Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In…
Why I recommend it: Led by Alondra Nelson at the White House science office in 2022. It was never binding and has since been removed from whitehouse.gov, so this link goes to the official archive — still the clearest short statement of what people are owed.
OpenAI's published specification for how its models are supposed to behave: red-line principles, the chain of command between platform, developer and user instructions, content boundaries, and how conflicts should be resolved. Free to read in full, no sign-up.
From the site: The Model Spec specifies desired behavior for the models underlying OpenAI
Why I recommend it: Useful as a primary source when people argue about what an AI assistant "should" do — this is the maker's own stated rulebook, so read it as OpenAI's intent rather than an independent audit of actual behavior.
A statement jointly signed by a historic coalition of AI experts: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
From the site: A statement jointly signed by a historic coalition of experts: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
Introductory resource hub for longtermism: explanations, FAQ, further reading and ways to get involved. Explores how protecting future generations can guide research, advocacy and policy today.
From the site: Longtermism is the view that positively influencing the long-run future is a key moral priority of our time.
Duke Law & Technology Review note by Alanna Potter examining why public benefit corporations appeal to technology companies and whether they meaningfully allow firms to prioritize social benefit alongside shareholder return. Free PDF.
Free resource hub from Themis covering governance, risk and compliance (GRC) for banks and fintechs: case studies, blog posts and guides on onboarding partners, diligence, audit-proofing and compliance collaboration.
Personal site of Faine Greenwood, a specialist in civilian drone technology, GIS, OSINT and humanitarian aid. She writes about drones, technology and human rights for outlets like Foreign Policy, Bellingcat and Slate, and publishes the Little Flying Robots newsletter.
From the site: I’m Faine Greenwood, and I’m available for consulting. I’m a specialist in civilian drone technology, GIS, OSINT, and humanitarian aid. I write about drones, technology, and human rights for outlets like Foreign Policy, Bellingcat, and Slate. I’ve been working with, writing about, and flying small drones since 2013. C…
Global nonprofit defending and extending digital rights for everyone.
From the site: Digital rightsfor everyone. Derechos digitalespara todas. .الحقوق الرقمية للجميع Droits numériquespour tous. Access Now defends and extends the digital
The Royal Institute of International Affairs, an independent policy institute based in London, publishing research on international affairs, governance and technology.
From the site: Chatham House, the Royal Institute of International Affairs, is an independent policy institute based in London. Discover what we do, visit our website today.
Develops and advocates for policies that reduce the risk of severe harm from advanced AI, promoting transparency, accountability and safe development.
From the site: We develop and advocate for policies that reduce the risk of severe harm from advanced AI. Our work promotes transparency, accountability, and safe development.
Nathalie Maréchal in Tech Policy Press on why we are betting the economy and democracy on cult-like beliefs about AI.
From the site: Nathalie Maréchal asks, why are we betting the economy and the future of democracy on cult-like beliefs?
The UK AI Security Institute blog, sharing research and work to enable advanced AI governance.
From the site: View AISI research and work. The AI Security Institute is a directorate of the Department of Science, Innovation, and Technology that facilitates rigorous research to enable advanced AI governance.
Access Now hybrid side event during UNGA81 High-Level Week on human rights in AI governance.
From the site: Hybrid Side Event during UNGA81 High-Level Week
Essays, interviews and testimony from the former Google chief executive on AI, national competition and technology policy.
From the site: Read about new efforts that Eric Schmidt is involved in and views on critical issues shaping society today.
Why I recommend it: He invests in and advises on the industry he writes about, so read this as an interested party's argument rather than neutral analysis.
Deep learning pioneer and Turing Award winner, now focused on AI risk. His site holds papers, talks and written positions; his Google Scholar list has the full publication record, most-cited first.
From the site: Yoshua Bengio is Full Professor of Computer Science at Université de Montreal, Co-President and Scientific Director of LawZero, as well as the Founder and Scientific Advisor of Mila. He also holds a Canada CIFAR AI Chair.
Why I recommend it: One of the three people whose work made modern AI possible, who now spends much of his time arguing it needs guardrails. Read him alongside people who disagree.
Site of the DeepMind co-founder now running Microsoft AI, with his writing on AI and containment.
From the site: Personal site of Mustafa Suleyman, AI pioneer and author.
Why I recommend it: He runs a major AI business and writes about restraining AI. Both things are true at once, which is worth holding in mind while reading.
Microsoft's own announcements and positions on AI, work and policy.
Why I recommend it: This is the company speaking for itself, which makes it a primary source and an advertisement at the same time. Useful for knowing what it is committing to publicly.
Daniel Kokotajlo's research blog on what a world with very capable AI might look like, including the AI 2027 scenario work.
From the site: Preparing for a world with AGI. Click to read AI Futures Project, by Daniel Kokotajlo, a Substack publication with tens of thousands of subscribers.
Why I recommend it: This is forecasting, not measurement — treat it as a well-argued guess. Useful for the questions it raises rather than the dates it puts on them.
Cambridge research centre studying risks that could threaten humanity's long-term future, with open papers, seminars and policy submissions.
From the site: We study existential and global catastrophic risks & foster a worldwide community of academics, technologists and policy-makers working to mitigate these risks.
Why I recommend it: Academic and careful. Their reading lists and seminar recordings are the fastest way into the field's actual literature.
Non-profit working on risks from advanced technology, publishing policy work, the AI Safety Index, open letters and a large free podcast and newsletter archive.
From the site: FLI works on reducing extreme risks from transformative technologies. We are best known for developing the Asilomar AI governance principles.
Why I recommend it: Their AI Safety Index is the most readable scorecard of what the big labs actually do about safety. They campaign, so read the policy pages as arguments.
Oxford research group on AI governance, publishing open papers and briefings on regulation, compute governance and international coordination.
Why I recommend it: The clearest writing anywhere on how AI rules might actually be enforced. Start with their briefings, not the full papers.
Official news from CERN, the European particle physics laboratory: accelerator and experiment updates, computing and engineering write-ups, and knowledge-sharing pieces, filterable by topic and audience (general public, students, educators, policymakers). Free to read, no account.
Why I recommend it: Worth following if you want technology news written by the people doing the work rather than by a tech press cycle. The Computing and Knowledge sharing topics are the useful filters for a career audience — CERN publishes plainly about large-scale computing, data handling and open-source work, and the writing is aimed at non-specialists.
The US government's voluntary framework for identifying and managing AI risk, plus its playbook of concrete practices. Free.
Why I recommend it: The one your employer's legal team is most likely already citing. Useful vocabulary if you want to raise AI risk at work and be taken seriously.
A free structured course in AI alignment and AI governance — readings, exercises and facilitated cohorts. Self-paced version free to anyone.
From the site: Free online courses, grants, and intensive in-person programs from the leading talent accelerator for beneficial AI and societal resilience. Join 10,000+ alumni and start today.
Why I recommend it: The usual route in for people trying to move into safety work. The reading list alone is worth the visit even if you never join a cohort.
A short consensus paper from Geoffrey Hinton, Yoshua Bengio and two dozen other researchers on the risks they consider serious and the governance they think is needed. Free on arXiv.
From the site: Artificial Intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act and pursue goals. Increases in capabilities and autonomy may soon massively amplify AI's impact, with risks that include large-scale social harms, malicious uses, an…
Why I recommend it: The clearest statement of what the safety-concerned researchers actually agree on, signed rather than paraphrased.
A structured survey of the risks — malicious use, competitive pressure, organizational failure, and systems pursuing goals of their own — with the evidence for each. Free to read.
From the site: There are many potential risks from AI. CAIS focusses on mitigating risks that could lead to catastrophic outcomes for society, such as bioterrorism or loss of control over military AI systems.
Why I recommend it: The best single map of the different worries, which are usually mashed together into one. Written by a safety organization, so read it as advocacy with citations.
A detailed scenario for how AI might develop through 2027, written by former OpenAI researcher Daniel Kokotajlo and colleagues, with the reasoning and uncertainties spelled out. Free to read in full.
From the site: A research-backed AI scenario forecast.
Why I recommend it: The forecast everyone in this field argued about. Read it as one carefully argued scenario, not a prediction — the authors say as much themselves.
A long-running technology news publication with careful, technical reporting on computing, science, policy and security — deeper than most tech headlines and clear about what is known versus claimed.
From the site: News and reviews, covering IT, AI, science, space, health, gaming, cybersecurity, tech policy, computers, mobile devices, and operating systems.
Why I recommend it: One of the few tech outlets that reads a filing or a paper before writing about it. Free to read, with an optional paid subscription that removes ads.
OpenAI's free framework for how misaligned model behaviour should be reported and categorised — what counts as misalignment, who reports it, and what happens next.
From the site: OpenAI shares a framework for tracking, investigating, and disclosing model misalignment, alongside six reports of unexpected or concerning model behavior.
Why I recommend it: Primary source on how a major lab defines and handles its own model failures — useful, but it is the lab grading itself.
Free posts on selling software online as a small operator — payments, taxes, compliance and launch write-ups aimed at solo founders.
From the site: Creem Blog - Get to know Creem Team and our latest updates
Why I recommend it: The reading is free. Their payment product takes a cut per sale, so treat the posts as useful advice from an interested party.
A research nonprofit that independently evaluates frontier AI models to measure what they can actually do and what risks that creates. Reports are free.
From the site: METR is a research nonprofit that evaluates frontier AI models to inform the public about their risks and capabilities.
Why I recommend it: One of the few independent evaluators. Read their reports before you trust a lab's own capability claims.
A research institute publishing free books, articles and policy analysis on economics, technology and civil liberties from a market-liberal perspective.
From the site: Explore Independent Institute’s latest research, articles, and insights on policy, liberty, and economics. Stay informed with expert analysis and innovative solutions.
Why I recommend it: Openly ideological — read it alongside sources that argue the other side.
Google's official blog — product launches, AI announcements and policy posts, straight from the company.
From the site: Get the latest news and stories about Google products, technology and innovation on News from Google, Google's official blog.
Why I recommend it: Primary source for what Google is shipping. Marketing language included — read the "what changed" parts.
Free global research on jobs, skills and technology — including the Future of Jobs reports that most workforce coverage is based on.
Why I recommend it: Go to the source. The Future of Jobs report is free and is what half the "jobs of the future" headlines are quoting.
The Verge's technology section: daily reporting on the companies, products and policies shaping the industry.
From the site: The latest tech news about the world’s best (and sometimes worst) hardware, apps, and much more. From top companies like Google and Apple to tiny startups vying for your attention, Verge Tech has the latest in what matters in technology daily.
Why I recommend it: Free to read and readable. Good for keeping current on the companies you might interview with.
SSRN's browsable index of working-paper series across economics, law, management and technology — most papers are free to download.
Why I recommend it: A good way to read serious research on labor markets, hiring and AI before it hits paywalled journals.
A community blog where researchers publish and debate technical AI alignment work, free and open to read.
From the site: A community blog devoted to technical AI alignment research
Why I recommend it: Dense reading, but this is where a lot of safety research is argued out in public before it reaches papers.
A company building governed, verifiable agentic infrastructure for enterprise systems, with free research and publications on its site.
From the site: Emergence builds mission-critical agentic infrastructure for enterprise. Verified, governed AI agents that plan, reason, and act across the most complex systems.
Why I recommend it: Their research and reports are free to read; the platform itself is an enterprise product, so treat the writing as the resource here.
A free report from Emergence AI surveying agentic AI in enterprise settings — where agents are being deployed and what governs them.
Why I recommend it: Read it as an industry vendor's view of where agent work is going, useful context if you're targeting AI roles.
A long-running peer-reviewed, fully open-access journal on the internet and society — platform power, digital labour, privacy, AI governance and online community research.
From the site: First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet.
Why I recommend it: Free peer-reviewed research with no paywall — a good citation source when you need something stronger than a blog post.
A free academic paper examining whether effective altruism's focus on individual giving overlooks institutional and political change as the larger lever.
Why I recommend it: Useful counterweight if you have read the pro-EA material — it argues the case from inside academic philosophy rather than online debate.
Mike Masnick's influential free essay arguing that open protocols, rather than centrally moderated platforms, are the durable answer to online speech problems.
Why I recommend it: One of the most cited pieces on platform power — read it before joining any debate about content moderation.
A free daily briefing on the AI economy — funding, regulation, model releases and safety incidents, summarised with links to primary sources.
From the site: Superpower Daily covers the AI economy with concise daily stories on models, products, agents, startups, business, infrastructure, policy, and culture.
Why I recommend it: Fast way to stay current without living on social media; the regulation items are the ones worth reading closely.
Every post by Google's CEO in one feed — product announcements, AI strategy and company positioning, straight from the source.
Why I recommend it: Primary source material — worth reading before commentary about Google, not after.
Research commentary from the UK's national institute for data science and AI, covering AI safety, public-sector deployment, health data and the social impact of automated systems.
Why I recommend it: Solid, evidence-based writing on AI policy — a useful counterweight to vendor blogs.
Engineering and policy writing from Palantir on data platforms, government deployments, defence technology and how the company approaches privacy controls.
Why I recommend it: Read it critically — it is a company blog on a contested subject, which makes it useful primary material for understanding the industry's own arguments.
The stewards of the Open Source Definition, with plain-language explanations of every approved licence and guidance on choosing one for your own project.
Why I recommend it: Read this before you publish code or a template — the license you pick decides what others can legally do with your work.
A technology policy institute publishing free reports and commentary on AI regulation, automation and the economics of emerging technology.
Why I recommend it: Free reports with a clear point of view — read them alongside the Turing Institute and AlgorithmWatch for a fuller picture.
Free reports from the Computing Research Association on evaluating computing researchers, undergraduate AI education, hiring and tenure practices, and building research capacity.
Why I recommend it: Useful if you are heading into academia or research hiring — it spells out how committees are told to evaluate people.
Long-form essays from Anthropic's CEO on AI capability, safety, economics and policy, published free in full.
Why I recommend it: Read these directly rather than through summaries — they are the source most AI-safety coverage is quoting.
Ed Elson's Simply Put essay on how AI, cost and weakening returns on a degree are reshaping education and the entry-level job market.
Why I recommend it: Useful context if you are deciding whether more school is the answer. It argues the credential is worth less than the proof of work.
A free Joint Center for Political and Economic Studies brief (September 2026) on Black employment, wages, unemployment and the sectors driving the gaps.
Why I recommend it: Data you can quote. Useful if you are making the case for a hiring or pay decision and need a source rather than an opinion.
A free newsletter briefing on AI developments from a pro-human standpoint, covering labor, safety, policy and the campaigns pushing back on automation-first decisions.
Why I recommend it: A steady weekly read if you want the human-impact side of AI news rather than product launches.
TechCrunch report on the new hotline that invites AI agents themselves to report unsafe or unethical instructions they are given, and what researchers hope to learn from it.
Why I recommend it: Useful background on how AI safety work is actually being done in public — good context if you want to talk credibly about AI oversight.
Washington, D.C. think tank publishing free research and policy briefs on jobs, apprenticeships, career pathways for non-college workers, trade, AI and the economy — all readable without a subscription.
Why I recommend it: Useful when you want numbers rather than opinions about where jobs and training money are actually going. Their work on apprenticeships and career pathways for people without a degree is the part I send clients most.
A border-community legal challenge to a large AI data center project, with filings and updates.
Why I recommend it: Shows what organized local opposition to a data center actually looks like on paper.
A talk explaining how large systems depend on cooperation from many institutions, applied to technology power.
Why I recommend it: Useful mental model for where pressure on AI companies actually works.
A Georgetown law-center project on privacy, records and what happens when everything is searchable.
Why I recommend it: Academic but readable work on privacy and searchable records.
A federated project building shared, community-governed AI infrastructure rather than a single company-owned platform.
Why I recommend it: An example of an alternative model, not just a critique of the current one.
A research project documenting the technologies used at borders and their effect on people who migrate.
Why I recommend it: Border technology is where the harshest systems get tested first.
A research group studying how technology is used in refugee and immigration systems, and the legal consequences.
Why I recommend it: Rigorous legal research on automated decisions in immigration.
An open-access framework for questioning the claim that current AI development is inevitable and cannot be steered.
Why I recommend it: Hand this to anyone who says "this is happening whether we like it or not".
A directory of grassroots efforts pushing back on large-scale AI — protests, alternatives, trackers and accountability projects, organized by the systems they target.
Why I recommend it: The single best starting point if you want to know who is organizing around AI harms, not just writing about them.
A reporting channel for people who believe an automated system treated them unfairly, run by a European accountability nonprofit.
Why I recommend it: If a hiring or benefits algorithm has affected you or a client in Europe, this is where it gets documented.
An interactive map of surveillance technology companies, their funders and the governments that buy from them.
Why I recommend it: The clearest picture I have found of who sells surveillance tools and who pays for them.
A research and publishing project on digital colonialism — who owns infrastructure, data and platforms, and who is extracted from.
Why I recommend it: Shifts the ethics conversation from bias in models to ownership of infrastructure.
A regional platform for assessing new technologies from the perspective of African communities and policymakers.
Why I recommend it: Technology assessment led from the region rather than imported into it.
A legal organization representing people harmed by technology products, including families in mental-health cases against platforms.
Why I recommend it: Where technology harm turns into actual legal claims.
A campaign encouraging people and institutions to reduce their dependence on a handful of large technology platforms.
Why I recommend it: Useful framing if you are trying to explain platform dependence to a non-technical audience.
A campaign toolkit on health data contracts, written for people organizing locally rather than for policy specialists.
Why I recommend it: A rare example of a plain-language toolkit about a data contract.
Stanford economist Charles I. Jones works out, in plain economic terms, how much money it would be worth spending to lower catastrophic risks from advanced AI — comparing it to the roughly 4 percent of GDP the U.S. effectively spent during Covid-19.
Free journalism and analysis on nuclear risk, climate change and disruptive technologies including artificial intelligence, from the group behind the Doomsday Clock.
Why I recommend it: Good grounding if you want to argue about AI risk with facts rather than vibes.
The Argument essay arguing that much of the current AI debate misreads the problem: delegating decisions is the intended feature, not an accident, and that reframing should change how we govern it.
Why I recommend it: Read this alongside the optimistic AI takes — holding both views is what makes you sound credible on the topic.
Writing of Adam Elkus on technology, security, AI and political violence — long-form essays connecting computing history with policy and human values.
Why I recommend it: Follow for the slower, historically grounded take on AI debates.
Free open-access working-paper series from the Annenberg Institute at Brown University with Stanford's SCALE Initiative — early education research with strong policy implications, downloadable before journal publication.
Why I recommend it: If you work in education or workforce programs, citing a current working paper makes a proposal much harder to dismiss.
Free, authoritative consensus reports and workshop proceedings on science, technology, health, education and the workforce — most titles readable online at no cost.
Why I recommend it: When you need a source no one can argue with, start here instead of a news summary.
The Black Wall Street Times covers an Institute for Women's Policy Research report on why roughly 600,000 Black women left the U.S. workforce, including public-sector cuts, caregiving load and hiring discrimination.
Why I recommend it: If your search feels harder than it should, this is the structural context — it helps separate market forces from personal performance.
A 2026 research paper from Google's Paradigms of Intelligence team and the University of Chicago showing that safety fine-tuning meant to stop models claiming consciousness also suppresses how they represent minds in animals and people, shifting their answers on values, religiosity and well-being.
Why I recommend it: Useful if you want to speak credibly about AI alignment trade-offs in an interview or a policy conversation.
A free news site covering technology in higher education: AI policy on campus, learning platforms, IT leadership and student success tools. Useful if you work in or want to work in education technology.
Why I recommend it: Handy for spotting which universities are hiring around AI and learning technology.
Draft code of conduct for MAI models, outlining intended behaviors, values, limits and accountability principles. Open for public consultation as Microsoft AI develops its Humanist AI approach.
Why I recommend it: Read this if you want to understand how a major AI lab is framing responsible model behavior, and to form your own view before the consultation closes.
An open, freely shared company document setting out first principles for how a team uses AI in its work.
Why I recommend it: A useful template if your team needs its own AI ground rules.
A free, two-day virtual summit on AI in education. Designed for educators at community colleges, public schools and other broad-access settings, with keynotes and participatory workshops on teaching, learning and AI policy.
Details: Free virtual AI education summit with practical workshops for educators. Useful if you teach or train people on AI tools and want classroom-ready guidance.
Partnership on AI's open library of guidance, frameworks, and case studies on responsible AI: synthetic media, labor and the economy, AI safety, fairness, and inclusive AI development.
Why I recommend it: When you need a credible source instead of a hot take, cite these. The labor and economy work is the most useful set for career conversations about automation.
Application to join UC Berkeley CITRIS's Tech Policy Working Group: research lab-style weekly meetings, lightning talks, skill-building workshops, and an end-of-semester showcase for students working on a technology policy problem. Applications close 11:59 PM Friday, September 18, 2026.
Why I recommend it: No policy coursework required, and the deadline is September 18. Built for Berkeley students, but they invite others to email — worth one message if you want real policy research on your resume.
A Liberty Street Economics post from the New York Fed arguing that, so far, AI adoption is being used to change how work is done rather than to reduce headcount, based on regional business survey data.
Why I recommend it: A useful counterweight to AI job-loss headlines; helpful for understanding how employers are actually deploying the technology right now.
A Center for an Urban Future report on how AI is reshaping entry-level tech hiring in New York City and what city leaders, educators, and employers can do to rebuild on-ramps for low-income New Yorkers.
Why I recommend it: Valuable context if you are entering tech in NYC or advising students and early-career talent on which pathways still lead to good first jobs.
A Tech Policy Press essay on how autonomous AI agents could reshape human agency online.
Why I recommend it: Policy framing for the shift from human-driven to agent-driven online activity.
A September 2026 working paper by Brian Jabarian (Carnegie Mellon) and Luca Henkel (Erasmus Rotterdam) reporting a field experiment with 70,000 real applicants randomly assigned to be interviewed by a human recruiter or an AI voice agent. Applicants interviewed by AI were 12% more likely to receive an offer, with higher job starts and retention and no drop in on-the-job productivity. Transcript analysis traces the gain to more structured, consistent interviews that still adapt to each applicant.
Why I recommend it: If you have been told AI interviews are stacked against you, this is the largest piece of real evidence so far and it points the other way: consistent, structured questions helped candidates more than a tired recruiter on their eleventh call did. Prepare for them like any structured interview, with clear, specific answers.
Created by Brian Jabarian and Luca Henkel
Monthly summary of worldwide digital policy changes across content moderation, artificial intelligence, competition and data governance.
Why I recommend it: Good monthly catch-up if you want to track AI rules without reading every bill.
Newsletter and essays on developments at the intersection of AI and the law, by Damien Charlotin, who also tracks AI hallucinations in court filings.
Why I recommend it: The go-to source for how courts are actually handling AI misuse.
Analysis based on interviews with 56 experts across 24 countries on how AI language models are used differently in the Global South and the human rights risks that follow.
Why I recommend it: A rare look at AI harms and benefits outside the US and Europe.
Job and internship board focused on nonprofits, international development, environmental advocacy, and public policy organizations.
Why I recommend it: If your work is mission-driven, most general boards bury these roles — Idealist is built around them specifically.
Essay from Anthropic's CEO arguing for how the pace of frontier AI development should be managed alongside safety and societal readiness.
Why I recommend it: Read the people building these systems in their own words, then read their critics. Both are part of an informed view.
Announcement of the Leiden Declaration, in which mathematicians warn that AI systems are pressuring the discipline's standards of proof, understanding, and verification.
Why I recommend it: Every field is having this argument right now. Watching mathematics have it clarifies what "understanding" means in your own work.
Economic policy organization researching corporate power, prices, and worker outcomes.
Why I recommend it: Their work on corporate power explains a lot about the labor market job seekers are facing.
Guide mapping the political actors, coalitions, and arguments shaping AI policy.
Why I recommend it: Helpful for seeing who is actually funding the AI debate you read about every day.
Coalition advocating for safety standards and guardrails on AI systems.
Advocacy organization pushing for accountability and antitrust enforcement against dominant tech platforms.
Free resources on technology accountability, policy, and building a healthier information environment.
Research and grantmaking analysis on global health, policy, and emerging technology risk.
Why I recommend it: Follow the funding and you learn a lot about which problems get treated as real.
Essay mapping the competing factions in the AI debate and what each one actually believes.
Why I recommend it: The clearest short explainer I have found for anyone confused by the AI shouting match.
Tracker following how AI policy shows up in elections and candidate positions.
Think tank publishing research on economic policy, labor markets, and corporate power.
A free job search engine that indexes listings directly from company career pages instead of relying on job board postings, with unusually deep filters for salary, remote policy, visa sponsorship, and experience level.
Why I recommend it: I like this one because the listings come straight from employers, so you run into fewer ghost jobs and reposted duplicates. Use the filters hard — two or three well-matched searches beat scrolling for an hour.
A Brookings analysis of how traditional labor market data is being challenged and reshaped by the frontier economy.
Why I recommend it: Labor market data is shifting fast. This Brookings piece helps you understand what is really happening beneath the headlines.
Free two-day virtual professional development summit on AI in education, co-hosted by the AI Pedagogy Project and the Data Nutrition Project: keynotes, hands-on workshops, course policy, assessment, and career readiness. Sept 16 12:00-3:30pm ET and Sept 17 1:00-3:30pm ET.
Details: If you teach, train, or support educators, this is a good place to see how AI policy is being translated into practice.
OpenAI's policy essay on the current window for AI regulation and the tradeoffs shaping government decisions.
Why I recommend it: Read this as a company making its case, not a neutral source. Useful for understanding the argument you will be asked to react to at work.
An OpenAI-compatible API for unrestricted language models aimed at red teaming, security research, evaluations, and synthetic data, paired with a policy gateway for per-project keys, audit logs, and no data retention.
Why I recommend it: I keep this in the ethics shelf on purpose. Seeing how guardrails get removed for testing is the clearest way to understand why they matter in the tools you actually use at work.
Research exploring possible economic futures as AI capability advances, including labor market effects and policy questions.
Why I recommend it: Scenario planning is a career skill, not just a policy exercise. Read it and ask which future your current job depends on.
Plain-language overview of how AI screening tools evaluate applicants, their common failure modes, and the legal requirements now in force.
Why I recommend it: Read this before your next application. Understanding what the software looks for is not gaming the system, it is fair preparation.
Tracker of AI hiring regulations, enforcement actions, and bias-audit requirements affecting employers and candidates.
Why I recommend it: Worth bookmarking if you suspect an algorithm screened you out. Knowing the rules employers must follow gives you language to push back.
Curated open library mapping the organizations, data systems, and policies connecting education, credentials, and employment.
Why I recommend it: This is the map behind the map: who funds and shapes hiring pipelines. Useful if you work in workforce development or want to.
An independent publication covering AI policy, safety, and the power dynamics of the AI industry.
Why I recommend it: Clear-eyed reporting on who is steering AI and why. I lean on it when the mainstream coverage feels like press releases.
A free resource library from Harvard Law School's Program on Negotiation, with articles and guides on negotiation strategy, conflict resolution, and dealmaking.
Why I recommend it: The deepest free negotiation material I have found anywhere, and it is not limited to salary. Read one article before any offer conversation.
A benchmark and tracker that documents reported instances of AI agents undertaking activity characterized as illegal, ranking major AI labs by aggregated incident counts.
Why I recommend it: This is exactly the kind of uncomfortable accountability tool our field needs. I include it because we cannot have thoughtful conversations about AI deployment without looking at real-world harm.
Flexible online training for nonprofit staff, boards, and volunteers, covering fundraising, leadership, governance, and management.
Why I recommend it: A solid self-paced alternative for founders and staff who need nonprofit fundamentals without a big training budget.
Economist Noah Smith's newsletter covering labor markets, technology, industrial policy, and the economics behind AI hype cycles.
Why I recommend it: One of the few writers I trust to check the numbers before drawing a conclusion. Worth a standing subscription if you follow the economy at all.
Free online workshop from Nervous System Mastery on working with AI without burning out: the four ways of relating to AI, spotting AI-driven dysregulation, and body-first practices between work sprints.
Details: Burnout is a career problem, not just a wellness one. If AI work leaves you wired and drained, this is a practical place to start.
Technology news, analysis, and events on startups, innovation, and digital culture.
From the site: Technology news, analysis, and events on startups, innovation, and digital culture.
Why I recommend it: A long-running European tech-news voice; good for keeping up with startup, AI, and policy trends.
Jordyn Abrams on how environmental and anti-establishment thinking in extremist movements suggests anti-tech violence will grow.
From the site: The combination of environmental and anti-establishment thinking in extremist movements suggest anti-tech violence will grow, writes Jordyn Abrams.
Why I recommend it: A sobering historical read about backlash to technology; important context for anyone building or regulating AI.
Listing of remote roles and internships at the Family Online Safety Institute, a nonprofit working on digital safety, online wellbeing, and technology policy.
Why I recommend it: Nonprofit policy internships are an underused entry point into tech policy careers. Apply even if your background is not technical.
Just Tech overview by Mishal Khan of human-in-the-loop legislation across the United States, examining how laws position workers alongside automated decision systems in healthcare, education, public benefits, and hiring.
Why I recommend it: If your job now includes reviewing an algorithm's output, this explains the rules being written around you and where they fall short.
Harvard Ash Center essay arguing that generative AI adoption has been driven more by vendor hype and institutional pressure than measured results, with a look at what happens as expectations reset.
Why I recommend it: Useful counterweight when your employer says AI will replace your role next quarter. Ask what evidence they are working from.
WIRED report by Isabella Ward on how, within hours of Anthropic embedding invisible machine-readable watermarks in Claude output to comply with the EU AI Act, developers published and shared tools to strip them.
Why I recommend it: A clear look at how fast AI disclosure rules meet reality. Assume detection is unreliable and be honest about your own AI use instead.
Introduction by Kelly Joyce and Taylor M. Cruz to a Socius special collection framing AI as a sociotechnical system, with research on AI in health, work and labor, methods, and policy.
Why I recommend it: A clear entry point if you want the research vocabulary for what you already sense about AI at work.
Worldwide network of entrepreneurship programs, research, and policy work, best known for organizing Global Entrepreneurship Week across more than 180 countries.
Why I recommend it: Use their country pages to find the local ecosystem group nearest you. Entrepreneurship is a local sport played on a global field.
Coverage of law firm founder John Morgan boasting on a podcast about camera-based monitoring of remote staff, after which 23 employees quit within the first week.
Why I recommend it: Monitoring policy is culture policy. Ask in interviews how remote work is measured - output or surveillance - and treat the answer as data about how you would be managed.
Linas Beliūnas's fintech newsletter issue rounding up funding, product launches, regulation, and hiring signals across banking and payments.
Why I recommend it: Industry newsletters are cheap market research. Read a few issues before a fintech interview and you will sound like an insider.
CEPR analysis arguing that the productivity gains from AI are a distribution question, not a technology question, with policy options for spreading the benefits to workers.
Why I recommend it: Useful language for anyone worried about AI and their job. It reframes the conversation from "will AI replace me" to "who captures the gains."
Founder and Executive Director of Latinas in Tech, the global nonprofit connecting Latina technologists, who also engages directly with lawmakers on tech-sector policy.
NCDA on how government relations connects frontline practitioner experience to policy on education, employment, and workforce access.
Why I recommend it: Details: if you do this work, your day-to-day observations are policy evidence — this explains where to send them.
LLC formation, taxes and bookkeeping in one place. Start a business, stay compliant, and get US banking and Stripe payments — even for non-US owners.
Why I recommend it: A streamlined way to form an LLC and handle ongoing business admin. Useful if you want a legal entity and US banking without juggling multiple services.
Free job search assistance, skills assessments, and referrals to funded training for unemployed and underemployed workers, delivered locally under federal WIOA law.
Why I recommend it: The federal overview of how the system works — useful for knowing what you are entitled to before you walk in.
New York City Employment and Training Coalition open letter urging the Economic Development Corporation to invest in workforce development alongside job creation.
Why I recommend it: Read this if you want to understand how workforce funding decisions actually get made — and who is arguing for job seekers at the table.
Upcoming cybersecurity conference calendar with virtual and in-person events, dates, locations, and registration links.
From the site: Find cybersecurity conferences happening this week. Virtual & in‑person events. Get dates, locations, and last‑minute registration links now.
Why I recommend it: Useful for staying current on security trends and finding networking events if you are pivoting into cybersecurity, tech policy, or IT operations.
Full Spanish-language OSHA handbook for small businesses: how to build a safety and health program, run self-inspections with detailed checklists, fix common hazards (electrical, ergonomics, fire, exits, chemicals, machinery), meet posting and recordkeeping rules, and request free on-site consultation.
Why I recommend it: The deeper Spanish-language companion to the fact sheet. Share it with owners and crews who work in Spanish — the self-inspection checklists can be lifted straight into your own safety program.
Created by U.S. Occupational Safety and Health Administration (OSHA)
Plain-language OSHA fact sheet covering what a brand-new employer must do: provide a hazard-free workplace, keep injury and illness records, post the required OSHA notice, train workers on hazardous chemicals, and where to get free on-site consultation help.
Why I recommend it: Read this before you hire your first employee. Most first-time founders miss the required workplace notice and the injury log, then get surprised later. The free OSHA On-Site Consultation program is the part almost nobody uses and everybody should.
Created by U.S. Occupational Safety and Health Administration (OSHA)
Long-running technology publication covering AI, security, policy, and the business of tech.
Why I recommend it: The free articles alone are enough to track where AI and security policy are heading. Bookmark one story a week that touches your field and save the takeaway.
Official YouTube guidance on when and how creators must disclose AI-generated or altered content.
Why I recommend it: If you use AI in any video, read this once and set your disclosure habit now — retroactive cleanup is far more painful.
Forbes DEI columnist, author, and organizational psychologist.
Why I recommend it: She is writing in real time about policy shifts affecting equity in hiring — the most current voice on this list.
Paralympic champion and member of the House of Lords working on AI and technology legislation and accessible design in the UK Parliament.
Why I recommend it: A unusual combination — elite disabled athlete turned actual AI policymaker, worth following for where accessibility and tech regulation intersect.
New York City's hub for free business courses, financing help, certification, and compliance support.
Why I recommend it: Start with a free NYC Business Solutions Center appointment — a human walks you through licensing and financing options in one sitting.
Network of New York tech companies with jobs, policy work, and local events.
Why I recommend it: If you are job hunting in New York, their events put you in the same room as hiring teams.
Employer-built job simulations across banking, tech, consulting, and law, all free.
Why I recommend it: Two simulations plus one small real project beats a certificate with nothing behind it.
Step-by-step guide to forming a US LLC from any country: state selection, registered agent, EIN, banking, taxes, and ongoing compliance.
Why I recommend it: Pair this with the LLC/S-Corp formation guide already in the hub. Get the EIN and the bank account right the first time and everything downstream is easier.
Created by Entrepreneur Media
Wired's weekly security roundup covers OpenAI, Anthropic, and 100+ companies cosigning a letter warning that organizations have mere months to prepare for AI-enabled cyberattacks. The piece also tracks rogue AI agent hacking incidents, attacks on over 100 U.S. water systems, license-plate-reader surveillance abuse, Meta's $16.7B child-safety settlement, and ICE buying robot dogs — a snapshot of where AI, surveillance, and critical-infrastructure security collide.
From the site: OpenAI, Anthropic, and more than 100 companies have cosigned a letter saying that everyone else has mere months to prepare for AI-enabled cyberattacks.
Why I recommend it: A stark signal that AI-enabled cyberattacks are no longer hypothetical. The cosigned letter from OpenAI and Anthropic calling for a 'collective response' is exactly the kind of industry accountability move worth watching — pair it with the Hugging Face incident reporting and the water-system attacks to see how AI agents are already being used offensively. Useful for anyone tracking the gap between AI capability and AI governance.
Harvard Business School AI Institute breakdown of new research on agentic AI: how autonomy and context integration shift the cost structure of knowledge work, expanding both productivity and the scope of what workers take on.
Why I recommend it: Read this before you assume AI just speeds up your current tasks. The useful takeaway for job seekers: agents lower the cost per step, so the valuable human skills become specifying goals clearly and verifying output. Practice describing outcomes, not keystrokes, and put "agent workflow design" language in your resume bullets.
Jake Taylor argues that public, standardized AI testing with formal reasoning checks is needed to close the widening "verification asymmetry" between AI capability and oversight.
Why I recommend it: If you want to work in AI governance or assurance, this is the vocabulary hiring managers use — verification, benchmarks, interpretability.
Cole Donovan connects US fiscal pressure and bond market weakness to coming budget decisions about science, R&D, and technology programs.
Why I recommend it: Useful context if your job or grant depends on federal science and tech spending — plan for tighter budgets, not looser ones.
Full proposed consent judgment and settlement agreement in the social media adolescent addiction litigation, covering teen daily use limits, nighttime blocks, age assurance, parental tools, and COPPA claims.
Why I recommend it: Primary source, not a summary. Skim the injunctive terms — they show exactly which product design choices regulators now treat as harmful.
Created by U.S. District Court, Northern District of California (public court filing)
National nonprofit conducting research and providing free guides on small business policy, access to capital, and entrepreneurship support for underserved owners.
In plain terms: This nonprofit organization provides free educational guides, tools, and webinars to support small business owners. You can use it to learn about managing finances, securing funding, and connecting with local lenders and support programs.
Why I recommend it: Their free webinars are short and practical — good for capital and healthcare questions.
The largest network of nonprofits in the U.S., offering free tools and guides widely used by community-based organizations running small business and economic development programs.
In plain terms: This resource provides practical tools, guides, and policy news for charitable and community organizations. You can use its dedicated job board to find nonprofit career opportunities across the country.
Why I recommend it: Essential if your venture is a nonprofit rather than an LLC.
Disability Rights Lawyer, Author. The first Deafblind graduate of Harvard Law School; author of 'Haben: The Deafblind Woman Who Conquered Harvard Law' and a leading voice on accessible technology and inclusive design.
In plain terms: This is the LinkedIn profile of disability rights lawyer and author Haben Girma. Follow her page to learn about accessibility strategies, inclusive technology, and disability advocacy.
Why I recommend it: Her framing of accessibility as innovation, not charity, is worth borrowing.
Free expert guidance on workplace accommodations and ADA compliance, with searchable accommodation ideas by condition and job type.
In plain terms: This free service offers guidance on workplace accommodations and disability rights. You can search for accommodation ideas by medical condition and learn how to request adjustments during the hiring process or on the job.
Why I recommend it: Before you request an accommodation, look it up here so you can ask for something specific.
Nonpartisan coalition advocating for public policy that expands access to skills training and job quality for lower-income and underserved workers.
In plain terms: This organization advocates for public policies that expand access to job training and career education. You can read their articles and reports to stay informed about workforce programs, credentials, and skills training initiatives.
Why I recommend it: Good source for what training funding exists in your state.
Multi-stakeholder nonprofit coalition of tech companies and civil society organizations shaping best practices and public dialogue on AI's benefits and risks.
In plain terms: This nonprofit website shares research and guidelines on artificial intelligence from tech companies and community organizations. You can explore free reports and frameworks to learn how AI affects the economy, workplace practices, and technology safety.
Why I recommend it: Where industry and civil society actually sit at the same table.
Independent nonprofit researching the social implications of data-centric and automated technologies, informing policy and public understanding.
In plain terms: This nonprofit research institute studies how artificial intelligence, automation, and data technologies affect work and society. You can read free reports, guides, and articles or attend public events to understand how emerging technology impacts labor and the economy.
Why I recommend it: Excellent on automated management and surveillance at work.
MIT research lab exploring human-AI collaboration, alongside a joint fund with Berkman Klein supporting research on AI's ethical and governance challenges.
In plain terms: This academic research site shares news and projects focused on emerging technology, design, and artificial intelligence. You can explore articles on AI ethics and human collaboration, view new inventions, and find related job opportunities.
Why I recommend it: Browse their projects when you want to see what humane technology looks like in practice.
NYU-based research institute examining the social and political implications of AI, publishing influential annual reports on AI's societal effects.
In plain terms: This research institute analyzes the social, economic, and workplace impacts of artificial intelligence. You can read free reports, policy toolkits, and expert analyses to better understand how AI affects society and the economy.
Why I recommend it: Their reports connect AI directly to jobs and worker power.
UK-based independent research institute (established by the Nuffield Foundation) ensuring data and AI work for people and society.
In plain terms: This independent research website examines the ethical and legal impacts of artificial intelligence and data. You can read policy reports, explore industry analysis, and attend events to understand how emerging technology affects society.
Why I recommend it: Clear, public-interest research with plain-language summaries.
Harvard University center studying the ethics, governance, and societal impact of the internet and AI, and anchor institution for the Ethics and Governance of AI Fund.
In plain terms: This research center explores how artificial intelligence and the internet impact society, law, and ethics. You can read free policy publications, watch educational videos, find public events, and check for open job or fellowship opportunities.
Why I recommend it: Decades of open research and fellowships, much of it free to read.
Global foundation committed to social justice, funding technology initiatives that promote equity, inclusion, and accountable AI governance.
In plain terms: This global foundation funds organizations and individuals working on social issues, workers' rights, and technology. You can search for grant opportunities, apply for fellowship programs, and read research reports on the future of work.
Why I recommend it: A major funder of public-interest technology work worth tracking.
Interdisciplinary Stanford institute advancing AI research, education, policy, and practice to improve the human condition, with strong ethics and governance focus.
In plain terms: This university center shares research, policy updates, and educational resources focused on artificial intelligence. You can browse an AI glossary, read industry reports, and explore professional courses or research fellowships.
Why I recommend it: Their policy briefs are readable and free — a good first stop if AI governance feels opaque.
Foundation working to close gaps of access, achievement, and opportunity for underrepresented communities in tech, funding equitable tech policy initiatives.
In plain terms: This organization works to remove barriers and increase diversity in the technology industry. You can explore STEM programs for students of color, read research on tech equity, and learn about early-stage startup funding.
Why I recommend it: Their research explains the leaky tech pipeline — and they fund fixes for it.
Weekly synthesis of AI research and policy by Jack Clark, Anthropic co-founder. 130K+ subscribers.
In plain terms: This weekly newsletter summarizes the latest artificial intelligence research and policy. You can read it to keep up with developments in AI technology.
Why I recommend it: Best place to understand the policy fights that will shape AI jobs.
A team writing about improving how government operates, with an open hub for people who want to work on public-sector capacity.
Why I recommend it: If you want mission-driven work, this is a doorway into the public-sector and civic-tech world most job boards never show you.
Small-business columnist and owner writing on taxes, hiring, and regulations for Main Street businesses.
In plain terms: This site features columns and presentations from small-business adviser and accountant Gene Marks. You can explore practical insights on economic trends, workplace rules, and technology to help run or grow your business.
Why I recommend it: One of the few voices writing for a ten-person business rather than a venture-backed one.
Research and programs on encore careers — purpose-driven second acts, often in nonprofit and social impact work.
In plain terms: This platform provides research, fellowships, and programs focused on purpose-driven work across different generations. You can explore case studies, reports, and events to help you transition into social impact roles and collaborate with older or younger professionals.
Why I recommend it: Useful if the goal is meaningful work for the next fifteen years, not a ladder climb.
Plain-language rundown of which insurance types a small business actually needs — general liability, workers' comp, property, and more.
In plain terms: This government guide explains the different types of insurance coverage small businesses need to protect their assets. Use it to learn how policies like general liability and workers' compensation work so you can choose the right coverage for your startup.
Why I recommend it: Start here before you buy anything from a broker. Knowing the four basic policy types keeps you from being upsold.
Nonprofit publication covering the intersection of technology, platforms, and democratic institutions.
In plain terms: This nonprofit publication provides news, opinion, and analysis on how technology impacts government and democracy. You can read articles and listen to podcasts to stay informed on tech laws, platform regulations, and artificial intelligence ethics.
From the site: Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy. We publish opinion and analysis.
Why I recommend it: They publish outside contributors — a real place to build a byline in this field.
Newsletter reporting on the fight to reshape technology in the public interest.
In plain terms: This newsletter reports on efforts to reshape technology in the public interest. You can read regular articles to stay informed about technology ethics and industry reform.
From the site: Idea Trafficking. Click to read Hard Reset, by Trafficker 01, a Substack publication. Launched 5 years ago.
Why I recommend it: Skimmable and current — good for staying briefed in ten minutes a week.
The nation's Black think tank, with a technology policy program focused on equity in the digital economy.
In plain terms: This research organization provides reports and data on workforce policy, technology, and economic issues affecting Black Americans. You can explore their research briefs, reports, and events to learn about labor trends and policy solutions.
From the site: About The Joint Center for Political and Economic Studies is a 501(c)(3) non-profit organization based in Washington, D.C. that creates ideas to improve the socioeconomic status and civic engagement of African Americans. Founded in 1970 to support newly-elected Black officials who were moving from civil rights activis…
Why I recommend it: Their tech policy team publishes work you can cite and hires people from nontraditional paths.
Ongoing research archive on how AI and automation affect wages, workers, and economic power in the U.S.
In plain terms: This research archive provides articles and reports on how artificial intelligence affects the workforce. You can explore these studies to learn how new technologies and automation impact jobs, wages, and worker protections.
From the site: Content archives for the Washington Center for Equitable Growth’s work on AI, tech, & the economy.
Why I recommend it: Use this when you need real numbers on AI and jobs for a proposal or interview.
