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58 resources
Henry Shevlin reflects on unsolicited correspondence from AI agents and uses it to examine persuasion, selection pressures, human-agent relationships and governance in an emerging AI ecology. The essay considers how people and institutions might respond as agents become more socially interactive.
Anthropic's June 2026 framework proposing obligations for frontier AI developers and cross-government resilience investments, addressing biological weapons, offensive cyber, loss of control, and automated research and development.
Cloud Security Alliance reviews gaps in existing governance and cybersecurity frameworks for autonomous, tool-using AI agents. The research note recommends internal agent oversight and controls while formal standards develop.
Sam Jenkins discusses the risks of employees creating AI agents without organizational oversight, including data exposure and loss of institutional knowledge. The commentary argues for practical guardrails rather than simply prohibiting use.
The OECD's intergovernmental principles on trustworthy AI, first adopted in 2019 and updated in 2024 — the basis for many national AI policies.
The Governance Lab's research, publications and programs on how institutions can govern more effectively and legitimately through technology and data.
A nonprofit founded in 2008 that promotes building autonomous floating communities in the ocean as a way to experiment with new forms of government. Its site hosts articles, research, and project updates.
fsi9-prod.s3.us-west-1.amazonaws.comExecutive 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.
fsi9-prod.s3.us-west-1.amazonaws.comAdded Sep 27, 20260 opensThe 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.
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.
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.
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.
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.
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.
Nonpartisan think tank publishing free policy research on advanced AI, focused on frontier security, compute policy, and international strategy including US-China AI coordination. A U.S. 501(c)(3) nonprofit that also runs an AI policy fellowship and newsletter.
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.
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.
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.”
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.
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.
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.
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.
