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32 resources
A public petition calling for a supranational body with the power to prevent AI-driven extinction risks and to share the wealth AI creates broadly. The site lays out the proposal and lists signatory organizations; signing is optional to read it.
An essay by Scott Alexander on LessWrong comparing plans for navigating the AI transition, arguing for working toward a long global pause on AI development over plans in which leading AI companies race and then briefly pause among themselves.
BetaNYC’s organizational AI governance policy describes its approach to adopting, using, and developing AI tools, including off-the-shelf tools and systems built with code or APIs. Version 1.1 was last reviewed September 6, 2026. This is BetaNYC’s policy, not a legal standard or general legal advice.
Harvard Kennedy School interview with faculty member and computer scientist Stephen Casper on why AI safety reaches beyond a technical problem and how anyone can get informed about AI governance.
Self-described open-source AI project and community that develops training data, tools, models, governance and provenance records in public.
Partnership for New York City report (October 2, 2026) on how AI is changing the city's economy: AI companies leased more than 2.2 million square feet of office space in the first half of 2026, NYC AI startups raised a record $16.7 billion in venture capital last year, yet entry-level hiring is declining in the white-collar industries most exposed to AI, and the report warns that the city's AI strategy does not yet address eroding entry-level pathways in finance, information and professional services.
National Quinnipiac University poll on AI. 73% of respondents said they are concerned about AI as a potential threat to human survival, and 86% support requiring AI companies to meet independent safety standards even if it slows development. Also asks about excitement, day-to-day harm vs. good, local AI data centers and trust in AI company leaders.
Joint enforcement policy statement (September 2026) from New York City's Department of Consumer and Worker Protection, Commission on Human Rights and Taxi and Limousine Commission. It states that existing city consumer, human-rights, worker and for-hire-vehicle laws apply when businesses use AI or automated systems for hiring, pay, scheduling, housing screening, pricing or customer service, and that entities stay legally responsible for what a chatbot, AI agent or algorithm does. It announces no new legal standards.
A research coalition that develops and compares progressive policy visions for a U.S. economy in which AI has replaced or disrupted many jobs, with the stated aim that AI's gains reach all Americans. Its site lists research, advisors, an open request for information and jobs.
Ramsha Jahangir and Justin Hendrix collect how governments outside the Western AI powers and China approached AI at the UN General Assembly High-Level Week — calling for a greater role in shaping AI rules, expanded access to AI capacity, and safety efforts that do not deepen technological divides. Pakistan, for example, backed calls to pace frontier AI while warning that "pacing must not become a new form of gatekeeping."
Personal site of Basil C. Puglisi, MPA, author of Governing AI and creator of the Factics method. Free essays and frameworks on AI governance, AI literacy and measurable digital strategy.
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.
Future of Privacy Forum explainer on Connecticut SB 5, the 39-section AI bill signed by Governor Lamont, summarizing its new requirements across several areas of AI policy.
Home page of NIST's Center for AI Standards and Innovation, the U.S. government office working with industry on AI measurement, evaluations and standards.
An op-ed arguing that the U.S. and China need to talk about self-spreading malicious software before AI makes such attacks easier to build. A readable introduction to why computer worms are back in the policy conversation.
The U.S. Mission to the United Nations' intervention at a UN Security Council meeting on artificial intelligence and international security, setting out the U.S. position on how AI should be governed in the security sphere. Note: the mission site blocks automated checks, so this description is based on the page title and context rather than a fresh read.
Why I recommend it: Governments are writing the rules for AI in real time. Reading one primary statement like this beats ten opinion pieces about what governments might do.
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.
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.
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.
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.
