Skip to content
aiqbench takeAI Safety

aiqbench analysis

This curated list aggregates essential technical literature and organizational resources focused on core AI safety challenges, including alignment, goal misgeneralization, and existential risk assessment. It bridges the gap between theoretical frameworks like embedded agency and practical policy initiatives from major labs and research centers. The collection serves as a comprehensive reference for practitioners seeking to navigate the evolving landscape of AGI safety research and governance.
Sources coveringLessWrong, Effective Altruism Forum
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

My recommended resources for AI safety, alignment, and existential risks

LessWrong2 min read

I have studied AI safety and existential risks for the last four years and, in this post, I share the resources I liked reading/watching the most. I have read/watched all of them. A few of these resources are in French. Not all the articles are peer-reviewed. I will update this post over time. Articles I liked the most AI safety via debate Safe uses of AI Oracles The Off-Switch Game Formalizing Two Problems of Realistic World-Models Goal Misgeneralization in Deep Reinforcement Learning Concrete Problems in AI Safety The Value Learning Problem Penalizing side effects using stepwise relative reachability Embedded Agency AI Safety Gridworlds Conservative Agency Parametrically Retargetable Decision-Makers Tend To Seek Power Tiling Agents for Self-Modifying AI, and the Löbian Obstacle Program Equilibrium in the Prisoner’s Dilemma via Löb's Theorem AGI Safety Literature Review Formalizing Convergent Instrumental Goals Eliciting Latent Knowledge: How to tell if your eyes deceive you Cooperative Inverse Reinforcement Learning YouTube channels and videos Rational Animations Robert Miles AI Safety AI In Context SciencePetr Monsieur Phi Siliconversations The video Writing Doom – Award-Winning Short Film on Superintelligence by Foregone Films The video L'horreur existentielle de l'usine à trombones by EGO The playlist L'intelligence artificielle et le machine learning by Science4All Podcasts and interviews 80,000 Hours Podcast AI X-risk Research Podcast (AXRP) Doom Debates Palisade Research's YouTube channel Le Futurologue Introductions Technical AI Safety Course - Blue Dot Impact Introduction to AI Safety, Ethics and Society - Center for AI Safety Iliad Intensive Course Materials Organizations Center for AI Safety (CAIS) Centre pour la Sécurité de l'IA (CeSIA) Alignment Research Center (ARC) Model Evaluation and Threat Research (METR) Center for AI Policy (CAIP) Palisade Research Convergence Analysis SaferAI Centre for Long-Term Resilience (CLTR) Existential Risk Observatory Apollo Research ControlAI Machine Intelligence Research Institute (MIRI) UK AI Security Institute (UK AISI) Interesting blogposts Responsible Scaling Policy - Anthropic Activating ASL-3 Protections - Anthropic Reward is not the optimization target Cryptographic Boxes for Unfriendly AI Building Safe A.I. A Tutorial for Encrypted Deep Learning Declarations, petitions, and quotes from experts Center of AI Safety's 2023 statement on AI risk AI Red Lines ControlAI's Compaign Statement The Pro-Human AI Declaration ControlAI's list of quotes Declarations and petitions we can sign AI Treaty Statement on Superintelligence ControlAI's Open Statement PauseAI Statement PauseAI US Petition Pause Giant AI Experiments: An Open Letter Open Letter to OpenAI Ban Superintelligence: Stop AI-Driven Human Extinction Risk Artificial Intelligence: Time is running out! - For responsible AI development! AI Summits Need to Take Safety Seriously Again Stop the Race to Replace Humans Surveys about existential risks Why do Experts Disagree on Existential Risk and P(doom)? A Survey of AI Experts (Severin Field, 2025, 111 participants). Future progress in artificial intelligence: A survey of expert opinion (Müller and Bostrom, 2012-2013, 550 participants). 2016 Expert Survey on Progress in AI (AI Impacts, 352 participants). 2022 Expert Survey on Progress in AI (AI Impacts, 738 participants). 2023 Expert Survey on Progress in AI (AI Impacts, 2778 participants). Discuss

Read the full article at LessWrong

Related coverage