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The AI Safety Map

A unified map of catalog episodes, Spotlight queue picks, TED talks, in-site editorials (briefings and maps), and the same shelf and intent filters across all of them. Leader profiles and timelines live under Leaders Watch — use the pill below — and are also included in site search.

882 library items Perspective Map framework Leaders Watch5 guided shelvesSorted A-Z by source title

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Start Here

Question-led pathways with a tightly curated shortlist from across podcasts, documents, and talks.

I'm new to AI risk

Start here if you want clear, non-hype framing on stakes, timelines, and what responsible action looks like.

Open path (12)

I need policy briefings

A policy-first lane focused on governance choices, institutional design, and concentration-of-power dynamics.

Open path (12)

I need technical alignment depth

Deep technical material on evals, interpretability, and control methods for reducing frontier-system risk.

Open path (12)

I need labor/social impact signals

Coverage of labor displacement, bias, autonomy, and who absorbs real-world costs when systems fail.

Open path (12)

I need democracy and information integrity context

Signal on manipulation risk, epistemic resilience, and public-reasoning failure in algorithmic environments.

Open path (12)

Civilisational risk and strategy

80,000 Hours Podcast

21 Jul 2017

Dario Amodei on OpenAI and how AI will change the world for good and ill

This conversation examines core safety through Dario Amodei on OpenAI and how AI will change the world for good and ill, surfacing the assumptions, failure paths, and strategic choices that matter most for real-world deployment.

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The AI Safety Map

I'm new to AI risk

I need policy briefings

I need technical alignment depth

I need labor/social impact signals

I need democracy and information integrity context

Civilisational risk and strategy

Dario Amodei on OpenAI and how AI will change the world for good and ill

Pushmeet Kohli on DeepMind’s plan to make AI systems robust and reliable, why it’s a core issue in AI design, and how to succeed at AI research

Tom Davidson on how quickly AI could transform the world

Elon Musk on AGI Safety and Superintelligence (Abundance360)

2022 - The Stories We Loved (and a Few Others) | After Hours

2022 - The Stories We Loved (and a Few Others) | After Hours

Adam Shai and Paul Riechers on Computational Mechanics

Adria Garriga-Alonso on Detecting AI Scheming

Adrià Garriga-Alonso on Detecting AI Scheming

Adversarial Policies with Adam Gleave

AI Control with Buck Shlegeris and Ryan Greenblatt

AI Existential Risk with Paul Christiano

AI's Future and Impacts with Katja Grace

Alan Chan on Agent Infrastructure

Anthony Aguirre on the Future of Life Institute

Assistance Games with Dylan Hadfield-Menell

Attainable Utility and Power with Alex Turner

Caspar Oesterheld on Program Equilibrium

Concept Extrapolation with Stuart Armstrong

Cooperative AI with Caspar Oesterheld

David Duvenaud on Sabotage Evaluations and the Post-AGI Future

David Lindner on Myopic Optimization with Non-myopic Approval

David Rein on METR Time Horizons

Debate and Imitative Generalization with Beth Barnes

Erik Jenner on Learned Look-Ahead

Evan Hubinger on Model Organisms of Misalignment

Finite Factored Sets with Scott Garrabrant

First Principles of AGI Safety with Richard Ngo

Forecasting Transformative AI from Biological Anchors with Ajeya Cotra

Guive Assadi on AI Property Rights

Infra-Bayesian Physicalism with Vanessa Kosoy

Infra-Bayesianism with Vanessa Kosoy

Jaime Sevilla on Forecasting AI

Jesse Hoogland on Singular Learning Theory

Joel Lehman on Positive Visions of AI

Learning Human Biases with Rohin Shah

Lee Sharkey on Attribution-based Parameter Decomposition

Mechanistic Anomaly Detection with Mark Xu

Natural Abstractions with John Wentworth

Negotiable Reinforcement Learning with Andrew Critch

Owain Evans on LLM Psychology

Peter Hase on LLM Beliefs and Easy-to-Hard Generalization

Peter Salib on AI Rights for Human Safety

Preparing for Debate AI with Geoffrey Irving

Risks from Learned Optimization with Evan Hubinger

RLHF Problems with Scott Emmons

Samuel Albanie on DeepMind's AGI Safety Approach

Science of Deep Learning with Vikrant Varma

Shakeel Hashim on AI Journalism

Shard Theory with Quintin Pope

Side Effects with Victoria Krakovna

Singular Learning Theory with Daniel Murfet

Suing Labs for AI Risk with Gabriel Weil

Tom Davidson on AI-enabled Coups

Training for Very High Reliability with Daniel Ziegler

Understanding Agency with Jan Kulveit

Zhijing Jin on LLMs, Causality, and Multi-Agent Systems

Demis Hassabis on Urgent AI Threat Research

Dario Amodei on Anthropic's Safety Red Lines

Sam Altman on OpenAI's Pentagon Safety Red Lines

AI Agents Emergency Debate

AI Whistleblower: We Are Being Gaslit By The AI Companies! They're Hiding The Truth About AI!

An AI Expert Warning: 6 People Are (Quietly) Deciding Humanity’s Future!

Daniel Priestley: AI Will Make Plumbers Earn More Than Lawyers! (2029 PREDICTION)

Dr David Sinclair: Can Aging Be Reversed? After 8 Weeks, Cells Appeared 75% Younger In Tests!

Dr David Sinclair: Can Aging Be Reversed? After 8 Weeks, Cells Appeared 75% Younger In Tests!

Tristan Harris - What the World Looks Like in 2 Years

Yoshua Bengio - 2 Years Before Everything Changes

You Are Not Prepared For 2027

Andrej Karpathy — AGI is still a decade away

Andrej Karpathy — AGI is still a decade away

Demis Hassabis — Scaling, superhuman AIs, AlphaZero atop LLMs, AlphaFold

Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute

#218 - Jaron Lanier: Virtual Reality, Social Media & the Future of Humans and AI

#218 - Jaron Lanier: Virtual Reality, Social Media & the Future of Humans and AI

#240 - Neal Stephenson: Sci-Fi, Space, Aliens, AI, VR & the Future of Humanity

#240 - Neal Stephenson: Sci-Fi, Space, Aliens, AI, VR & the Future of Humanity