AI Alignment Forum: Curated Sequences
List of sequences curated by the AI Alignment Forum team, featuring work from Richard Ngo, Paul Christiano, etc.
Open courseAI safety courses and reading lists from around the world, collected by AISafety.com and linked to the people who run them. Start with a general introduction, then pick a direction: governance, strategy, or technical.
List of sequences curated by the AI Alignment Forum team, featuring work from Richard Ngo, Paul Christiano, etc.
Open courseCovers key concepts and research perspectives in AI safety, split into two main streams: Technical AI Safety and AI Governance.
Open courseLens Academy
Based heavily on the book "If Anyone Builds It, Everyone Dies" – covering the core case for why superintelligent AI could be catastrophic, and what should be done about it.
Open courseCenter 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.
Open courseGoogle DeepMind
75-minute course covering alignment problems expected as AI capabilities advance. Includes recorded talks, exercises, and an accompanying workbook.
Open courseCambridge 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.
Open courseBlueDot Impact
Very short, engaging introduction to AI and its potential impacts. Good entry point to share with laypeople curious about AI.
Open courseBlueDot 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.
Open courseStanford 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.
Open courseCooperative 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.
Open courseEsben Kran
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.
Open courseEuropean 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.
Open courseBlueDot Impact
The decisions being made today determine whether AI liberates humanity, destabilizes it, or worse. This course aims to prepare participants to be part of those decisions.
Open courseRedwood Research
Guide to readings which seem valuable for thinking about key future dynamics in advanced AI development – timelines, takeoff, misalignment, control, governance, and strategy.
Open courseBlueDot Impact
Course designed for economists who want to develop their understanding of transformative AI and its economic impacts.
Open courseAlignment 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.
Open courseVarious
List of sequences curated by the AI Alignment Forum team, featuring work from Richard Ngo, Paul Christiano, etc.
Open courseCentre 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.
Open courseARENA
Facilitates upskilling in machine learning engineering for the purpose of contributing directly to AI alignment in technical roles.
Open courseBlueDot Impact
Covers key concepts and research perspectives in AI safety, split into two main streams: Technical AI Safety and AI Governance.
Open courseCenter for Human-Compatible AI (CHAI)
Reading list discussing ideas CHAI believes warrant further attention and research for the purpose of developing human-compatible AI.
Open courseBoaz Barak
Graduate-level course at Harvard University examining technical challenges in AI safety, including adversarial robustness, jailbreaks, interpretability, and potential catastrophic capabilities.
Open courseIliad
In-depth introduction to foundational AI alignment for people with strong backgrounds in mathematics, physics, or theoretical computer science.
Open courseCenter 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.
Open coursePrinciples of Intelligence
Focused on introducing people to AI risk factors from misdirected optimization or consequentialist cognition, aiming to remain largely agnostic of solution paradigms.
Open courseMeridian and C2D3
Series of 16 lectures explaining how language model systems are built, in order to understand and predict their behavior.
Open courseVanessa Kosoy
Vanessa Kosoy's math-heavy reading list for people interested in studying the learning-theoretic agenda.
Open courseML 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.
Open courseUChicago Existential Risk Laboratory (XLab)
A technical track on AI control and a governance track on verifying international AI agreements – with primary literature, interactive demos, and writing practice.
Open courseUChicago Existential Risk Laboratory (XLab)
Introduces AI security research through five sections covering adversarial examples, jailbreaking, model tampering, data poisoning, and information extraction.
Open courseVictoria 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.
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Explainer articles from the MAI team, in Indonesian, are coming soon.
Data source: AISafety.com (licence CC BY 4.0). Course titles and descriptions stay in English, as in the source. Logos and trademarks belong to their owners.
Last checked Oct 16, 2026