Database

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A scalable, non-infohazardous way to quickly upskill via digestible, repeatable exercises from papers and workshops.

Interpretability at Anthropic

Meta Charity Funders (MCF) is a donor funding circle that pools capital and expertise to support EA meta charities - organizations working one level removed from direct impact. Members each commit $100,000 or more annually and coordinate through biannual open grant rounds.

Field building on AI's impact on nonhumans

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Researcher-in-training with a background in chemistry who has transitioned towards AI safety, particularly interested in reinforcement learning and multi-objective approaches to training agents better aligned with human goals, currently working with ARAAC researchers as an intern.

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Head of the Strategic Foresight Hub in the Office of the President at ETH Zurich, with a background as an engineer, educator, and futurist.

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A curated directory of AI safety podcasts, newsletters, YouTube channels, blogs, books, and forums maintained by AISafety.com. It helps newcomers and practitioners stay informed about rapid developments in the AI safety field.

Tom Liptay is Director of Forecasting at FutureSearch. He holds a PhD in Electrical Engineering and Computer Science from MIT, previously served as Director of Forecasting at Metaculus and CFO of Good Judgment Inc, founded an investment fund, and is a Good Judgment Project Superforecaster.

Co-founder of Sentience Institute, Jacy Reese Anthis is a writer and social scientist whose work focuses on effective altruism, moral circle expansion, and digital minds. He is the author of The End of Animal Farming, is a PhD fellow at the University of Chicago, and previously worked as a senior fellow at Sentience Politics and as a researcher and board chair at Animal Charity Evaluators, with his writing on effective altruism topics appearing in outlets such as The Guardian and Vox.

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To spend the next year leveling up various technical skills with the goal of becoming more impactful in AI safety

2-year salary for work on the learning-theoretic AI alignment research agenda

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Nate Thomas is a co-founder of Redwood Research and its former CEO; he now serves on the board of directors and focuses on shaping the organization’s strategy for high-impact AI safety research programs.

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Singapore's first civil society organization for AI safety, providing a co-working space, events, and community hub for researchers and professionals working on AI safety governance, technical research, and field-building in Asia.

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Researcher at the UK AI Security Institute whose work focuses on machine learning, AI safety, data poisoning and Gaussian processes.

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Fellowship Lead for the AI Safety Initiative at Georgia Tech and computer science undergraduate who manages the AI Safety Fellowship and is interested in adversarial robustness and theoretical approaches to AI safety.

Jamie Susskind is a non-resident fellow at the Foundation for American Innovation and a partner at ACG Advocacy. A veteran tech-policy lawyer, she previously served as legislative director to Senator Marsha Blackburn, overseeing a large legislative team and leading work on issues including data privacy, cybersecurity, broadband, spectrum, and online content moderation.

Alessandro Palmas is a machine learning researcher and engineer on LawZero’s core research and engineering team, where he works on truthful, transparent, safe-by-design AI through next-generation foundation models, reasoning architectures and simulation-driven decision-making. His background spans artificial intelligence and aerospace engineering, with published work on topics such as low-thrust trajectory optimization and computer vision for UAVs.

PhD student researching human-aligned AI with Deakin University and CSIRO’s Data61 Robotics and Autonomous Systems Group, focusing on socially responsible, interactive and human-aligned autonomous agents (including apology-based approaches) and a member of the Australian Responsible Autonomous Agents Collective (ARAAC).

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Superforecaster, also a forecaster for Samotsvety, the Swift Centre & INFER. Interested in X-risk reduction.

Redwood Research contractor building software engineering settings for AI control research

Saturn Data builds FPGA-accelerated servers for high-memory, high-bandwidth workloads and has received funding to prototype flexible hardware-enabled governors (FlexHEGs) for AI compute governance.

Liam is the creator behind the Siliconversations YouTube channel, a former quantum scientist who previously specialised in machine learning on quantum computers and now makes animated videos about AI safety and related topics for general audiences.

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Philip Reiner is the Chief Executive Officer and Co‑Founder of the Institute for Security and Technology, a global nonpartisan think tank bridging technologists and national security policymakers; he previously served as Senior Director for South Asia on President Obama’s National Security Council, worked in the Office of the Under Secretary of Defense for Policy at the Pentagon, and held roles at Raytheon Space and Airborne Systems.

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Recruitment specialist at Impact Ops based in Belgrade, Serbia, with 6–15 years of international recruitment and HR experience across APAC and EMEA, focused on supporting effective altruism and other social-impact organizations.

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government economist, previously an EA organiser at London School of Economics

Co-founder and board president of AI Standards Lab and Technical Research Manager at Pivotal Research, with a mechatronics engineering background and prior experience as an early engineer at an ophthalmic surgical robotics startup that raised over $150M, working on AI control, risk and quality management, and failure modes of automated alignment.

Axel Højmark is an AI safety researcher and Member of Technical Staff at Apollo Research, where he works on evaluations for AI scheming and deception. He studied Computer Science at the University of Copenhagen (DIKU), where his bachelor's thesis on AI-generated social media content was accepted at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). He subsequently participated in the MATS Summer 2024 cohort, researching improved methods for evaluating capabilities of LM agents and agent scaling laws under the mentorship of Jérémy Scheurer and Marius Hobbhahn from Apollo Research. His key publications include "Forecasting Frontier Language Model Agent Capabilities" (2025), which evaluated six forecasting methods for predicting downstream LLM agent performance, and "Stress Testing Deliberative Alignment for Anti-Scheming Training" (2025), a collaboration with OpenAI examining mitigations for covert AI misbehavior. He has received funding from the Long-Term Future Fund to support his research on agent scaling laws and the relationships between training compute and agent capabilities.