Research papers, investigations, explainers, videos, laws and the organizations doing the work, from people who are alarmed and people who are skeptical. New additions are checked by two people before they are listed. The launch collection was compiled with the help of AI research assistants, and every link was opened and checked on 22 September 2026.
11 works · Tool or dataset · clear filters
Searchable collection of real-world cases where AI systems caused or nearly caused harm, modelled on incident records in aviation and computer security.
Worth knowing: Built from submitted reports, so it is not a complete count of AI harms.
Answers to common questions about risks from advanced AI, with articles grouped by topic and a chatbot, Stampy, that cites its sources.
Worth knowing: The site itself warns that its chatbot can be inaccurate.
Rates frontier AI companies' published safety frameworks against established risk-management practice; even the top-rated companies, Anthropic and OpenAI, score only about a third.
Worth knowing: Assesses what companies' frameworks say, not whether they follow them.
METR's index of the safety frameworks published by frontier AI companies, including Anthropic, OpenAI, Google DeepMind, Meta, xAI, Microsoft and Amazon, for comparing what each has committed to.
Worth knowing: The frameworks are written by the companies themselves.
An open-source library of test environments where an AI does real work but has chances to misbehave, so researchers can check whether monitors and other safeguards catch it.
A running record of court and tribunal decisions worldwide that found a party relied on AI-invented material, usually fake legal citations. It listed more than 2,000 cases by September 2026.
Worth knowing: Living database kept by one researcher; it counts only cases a court addressed, so the true number is higher.
A tool that uses AI to summarize, search and cluster long AI-agent transcripts, helping researchers spot broken tasks, unexpected behavior and weaknesses that a single score hides.
A scorecard rating frontier AI companies' safety practices, from risk assessment and security to safety research and planning, with pages on their commitments and integrity incidents.
Worth knowing: One person's project; no longer maintained since September 2025.
A crowd-sourced spreadsheet of real cases where AI systems found loopholes in the goals they were given, each with the intended goal, what the system did instead, and a source.
Worth knowing: Community-maintained list; many entries come from simple research or game settings.
Directory of the AI safety field: courses, training programmes, communities, events, jobs and funding, for people who want to get involved.
Worth knowing: Framed around preventing human extinction from AI.
Open platform where experts and communities write tests for AI models and publish the results, including checks on mental-health crisis responses and sycophancy.
Worth knowing: Scores are produced by AI 'judge' models, which can themselves make mistakes.