Changing direction into ai policy is mostly a translation problem: you already have skills, and they need to read as relevant. These 61 free entries help with both halves — the learning and the way you talk about it.
69 free entries on this topic · see all of them · search within the topic
The ones I hand people first. Pick one, finish it, then come back.
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.
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.
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.
Self-paced, no cost, and finishable alongside a job.
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.
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.
Boards, communities and organizations that post or point to real openings.
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.
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.
A free job board from All Tech Is Human, a nonprofit working to grow the responsible technology field, listing openings in AI policy, trust and safety, AI ethics, responsible AI governance, digital rights, and adjacent roles at companies, nonprofits, governments, and universities. Listings are free to browse without an account.
Why I recommend it: If you want to work on the governance side of AI rather than the engineering side, this is one of the few boards that aggregates exactly those roles. Filter by policy, trust and safety, or responsible AI and check weekly — the field is small and good postings move fast.
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.
Coalition advocating for safety standards and guardrails on AI systems.
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.
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.
Things that do part of the work for you, free to use.
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.
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.
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.
Cornell Tech's AI research hub, covering faculty work on machine learning, AI policy and applications.
Why I recommend it: University overview page — useful for finding researchers and free talks.
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.
Tracker following how AI policy shows up in elections and candidate positions.
Short pieces worth the twenty minutes before you commit to anything bigger.
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.
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.
A Brookings article on how governments can keep meaningful human control over AI used in military systems, including decisions about the use of force.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Steady sources, so you keep learning after this page.
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.
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.
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.
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.
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.
Dates you can put in a calendar and meet people at.
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.
Comparing two of these? Put them side by side.
