Self-study

These curricula and reading lists enable you to dive deeper into AI safety through independent learning.

Fundamental reading

AI Alignment Forum: Curated Sequences

By Various

List of sequences curated by the AI Alignment Forum team, featuring work from Richard Ngo, Paul Christiano, etc.

Technical alignment

Reading list

Standard introductory courses

BlueDot Impact: Technical & Frontier AI Governance

By BlueDot Impact

Covers key concepts and research perspectives in AI safety, split into two main streams: Technical AI Safety and AI Governance.

Technical alignment, Governance

Curriculum

29 courses

Navigating Superintelligence

By Lens Academy

New curriculum helping people understand why superintelligent AI could be catastrophic for humanity – and what to do about it.

General intro

Curriculum

DeepMind AGI Safety Short Course

By Google DeepMind

75-minute course covering alignment problems expected as AI capabilities advance. Includes recorded talks, exercises, and an accompanying workbook.

General intro

Curriculum

Agent Foundations for Superintelligence-Robust Alignment

By Alignment Ecosystem Development (AED)

Guide to the cluster of thought which expects solving alignment in a way which scales to superintelligence to require well-specified proposals guided by strong theoretical understanding.

Technical alignment

Curriculum

AI Safety Atlas

By Centre pour la Sécurité de l'IA (CeSIA)

Textbook systematically mapping the landscape of AI safety knowledge. Ideas are laid out in a carefully structured narrative where concepts build naturally on previous ones.

Technical alignment, Governance

Curriculum

Iliad Intensive

By Iliad

In-depth introduction to foundational AI alignment for people with strong backgrounds in mathematics, physics, or theoretical computer science.

Technical alignment

Curriculum

AI Safety, Ethics and Society (AISES)

By Center for AI Safety (CAIS)

Covers a wide range of risks, including loss of control, misalignment, malicious use, etc, while leveraging concepts and frameworks from existing research fields to analyze AI safety.

General intro

Curriculum

Intro to Transformative AI

By BlueDot Impact

Intensive 5-unit course helping people fast-track their understanding of AI’s impact on society and start taking their first steps in making a contribution to AI safety.

General intro

Curriculum

AI Futurism Reading List

By Redwood Research

Guide to readings which seem valuable for thinking about key future dynamics in advanced AI development – timelines, takeoff, misalignment, control, governance, and strategy.

Strategy

Reading list

CS 2881: AI Safety

By Boaz Barak

Graduate-level course at Harvard University examining technical challenges in AI safety, including adversarial robustness, jailbreaks, interpretability, and potential catastrophic capabilities.

Technical alignment

Curriculum

Deep Dive

By European Network for AI Safety (ENAIS) and AI Safety Hungary

Designed as a 201 AI policy course, helping you find your footing in the vast AI governance landscape by engaging with various dimensions.

Governance

Curriculum

Language Models and Intelligent Agentic Systems

By Meridian and C2D3

Series of 16 lectures explaining how language model systems are built, in order to understand and predict their behaviour.

Technical alignment

Curriculum

Future of AI

By BlueDot Impact

Very short, engaging introduction to AI and its potential impacts. Good entry point to share with laypeople curious about AI.

General intro

Curriculum

AGI Strategy

By BlueDot Impact

The decisions being made today determine whether AI liberates humanity, destabilises it, or worse. This course aims to prepare participants to be part of those decisions.

Strategy

Curriculum

Introduction to ML Safety

By Center for AI Safety (CAIS)

PhD-level survey course on technical ML safety. Covers various technical topics to reduce existential risks from AI, including robustness, monitoring, control, and systemic safety.

Technical alignment

Curriculum

Introduction to AI Safety

By Stanford University

What is safe AI, and how do we make it? This Stanford University course explores that question, focusing on the technical challenges of creating reliable, ethical, and aligned AI systems.

General intro, Technical alignment

Curriculum

Alignment Research Engineer Accelerator (ARENA)

By ARENA

Facilitates upskilling in machine learning engineering for the purpose of contributing directly to AI alignment in technical roles.

Technical alignment

Curriculum

Introduction to Cooperative AI

By Cooperative AI Foundation (CAIF)

A primer on cooperative AI, a research field focused on improving the cooperative intelligence of advanced AI for the benefit of all.

General intro

Curriculum

MATS AI Safety Strategy Curriculum

By ML Alignment & Theory Scholars (MATS)

As part of their program, MATS runs a series of discussion groups focused on topics relevant to prioritizing research in AI safety. This is the curriculum.

Technical alignment, Governance

Curriculum

Victoria Krakovna: AI Alignment Resources

By Victoria Krakovna

Intended to help people get up to speed on the main ideas in AI alignment i.e. ensuring advanced AI systems do what we want them to do.

Technical alignment

Reading list

CHAI: Annotated Bibliography of Recommended Materials

By Center for Human-Compatible AI (CHAI)

Reading list discussing ideas CHAI believes warrant further attention and research for the purpose of developing human-compatible AI.

Technical alignment

Reading list

Levelling Up in AI Safety Research Engineering

By Stanford AI Alignment (SAIA)

Level-based guide for independently upskilling in AI safety research engineering that aims to give concrete objectives, goals, and resources to help anyone go from zero to hero.

Technical alignment

Reading list

Learning-Theoretic Agenda Reading List

By Vanessa Kosoy

Vanessa Kosoy's math-heavy reading list for people interested in studying the learning-theoretic agenda.

Technical alignment

Reading list

Arkose: AI Safety Papers

By Arkose

Papers, blog posts, talks, newsletters, and guides relevant to improving the safety of advanced AI systems in order to reduce large-scale risks.

Technical alignment, Governance

Reading list

Reading What We Can

By Apart Research

Collection of books and articles for a 20 day reading challenge. Covers AI safety basics, ML engineering, ML upskilling, and AI safety-relevant sci-fi.

General intro

Reading list

Existential Risks Introductory Course (ERIC)

By Cambridge Long View Initiative (CLVI)

Each section covers a different topic related to existential risks. The book 'The Precipice' by Toby Ord forms the majority of the core reading material.

General intro

Curriculum

Economics of Transformative AI

By BlueDot Impact

Course designed for economists who want to develop their understanding of transformative AI and its economic impacts.

Strategy

Curriculum

Key Phenomena in AI Risk

By Principles of Intelligence

Focused on introducing people to AI risk factors from misdirected optimization or consequentialist cognition, aiming to remain largely agnostic of solution paradigms.

Technical alignment

Curriculum

AI Alignment Forum: Curated Sequences

By Various

List of sequences curated by the AI Alignment Forum team, featuring work from Richard Ngo, Paul Christiano, etc.

Technical alignment

Reading list

BlueDot Impact: Technical & Frontier AI Governance

By BlueDot Impact

Covers key concepts and research perspectives in AI safety, split into two main streams: Technical AI Safety and AI Governance.

Technical alignment, Governance

Curriculum