Database

Early contributor to the AI Safety Awareness Project remembered in its "In Memoriam" section. He previously played online poker professionally for five years, spent four months at the Recurse Center focusing on AI and reinforcement learning, received a grant from the Machine Intelligence Research Institute (MIRI) to upskill in machine learning, and participated in AI Safety Camp as both participant and organizer. He later founded Poker Camp, a nonprofit that uses poker to teach probability, AI, and decision-making under uncertainty. He held a B.S. in Electrical Engineering from Northwestern University and an M.Sc. in Electrical Engineering from the Technion – Israel Institute of Technology.

No summary available yet.

No summary available yet.

No summary available yet.

José Luis Cordeiro is a Venezuelan-Spanish engineer, economist, and futurist who chairs The Millennium Project’s Venezuela Node and serves on its Board of Directors. He founded the World Future Society Venezuela, previously directed the Venezuela Chapter of the Club of Rome, holds degrees from Universidad Simón Bolívar, INSEAD, and MIT, and has authored more than ten books, including the bestseller La muerte de la muerte on radical life extension.

Eric Easley is an AI safety researcher and machine learning researcher affiliated with the ML Alignment & Theory Scholars (MATS) program, based in San Francisco, CA. He holds a Bachelor's degree in Physics and Economics from The Ohio State University. Prior to focusing on AI alignment research, he gained software engineering experience at companies including PullRequest and Coursera. He received a grant from the Long-Term Future Fund (LTFF) for a 6-month research stipend focused on removing conditional bad behaviors from large language models via a learned latent space intervention, exploring how latent representations in LLMs can be used to durably eliminate undesirable model behaviors rather than merely suppress them. His GitHub profile (username: pseudonom) shows a background in functional programming, particularly Haskell.

Design and product specialist working at Atlas Computing.

Adam Shimi is a French AI safety researcher currently working as a Policy Researcher at ControlAI, a non-profit focused on preventing the development of unsafe superintelligence, based in London. He completed his PhD in theoretical computer science at the Université de Toulouse (IRIT) in 2020, where his dissertation focused on distributed computing and the Heard-Of model, and holds an engineering degree in Computer Science and Applied Mathematics from ENSEEIHT (2014-2017). Prior to ControlAI, he was a co-founder and early staff member at Conjecture, an AI alignment research startup, where he also founded Refine, a three-month incubator for conceptual alignment researchers to develop new research directions. He has conducted independent AI alignment research with support from the Long-Term Future Fund and is an active contributor to the Alignment Forum and LessWrong, with over 124 posts and 875 comments. His research interests span epistemology of alignment, agent foundations, goal-directedness, and the methodology of AI safety research, and he blogs at For Methods (formethods.substack.com).

No summary available yet.

No summary available yet.

Romain Graux is a systems specialist and machine learning engineer at EPFL’s Computational Molecular Design Laboratory who writes about AI safety, deep learning, and software. Public profiles indicate that he works at EPFL in a systems specialist role, and event listings show him helping to host and organize AI safety events at EPFL, including the AI Horizons panel on the Swiss AI Initiative and earlier multi-agent safety hackathons.

Independent AI Researcher

B.S. Behavioral Economics; Biz dev lead and PM for various early-stage tech startups, mostly in the Medtech and AR/VR space.

No summary available yet.

Executive Director at Sentient Futures

Head of Global Partnerships at the Collective Intelligence Project and a global community organizer with experience building international coalitions, advising policymakers, and working on human rights, digital rights, education, public health, climate, and social movements across regions including Nepal, South Africa, India, Sri Lanka, the UK, and the US.

Co-founder and principal investigator of the Alignment of Complex Systems Research Group at Charles University’s Center for Theoretical Study, previously a research fellow at Oxford’s Future of Humanity Institute working on macrostrategy, AI alignment, and existential risk.

45th President of the United States of America🇺🇸

Chris Lakin is an independent AI safety researcher and writer based in San Francisco. He studied physics at Carnegie Mellon University and previously contributed to New Science, a metascience non-profit. His primary research focus is formalizing the concept of "boundaries" or "membranes" as a rigorous safety specification for AI systems, drawing on Markov blankets and connections to agent autonomy in psychology. He has written widely-read distillation posts on this topic for LessWrong and the Alignment Forum, and organized two workshops: the Conceptual Boundaries Workshop (February 2024, Austin) and the Mathematical Boundaries Workshop (April 2024, Berkeley area), bringing together researchers including David Dalrymple, Scott Garrabrant, and Andrew Critch. His work has been funded by the Long-Term Future Fund, the Foresight Institute, and a joint $40,000 ACX Grant (2024) with Evan Miyazono. He writes the "Locally Optimal" Substack newsletter (3,300+ subscribers) and maintains a project site at formalizingboundaries.ai.

Dmitrii Troitskii is a Research Manager at the Cambridge Boston Alignment Initiative, working with fellows on mechanistic interpretability and related AI safety research projects featured in CBAI’s research portfolio.

No summary available yet.

No summary available yet.

Chloé Messdaghi is a security and AI governance advisor who helps leadership teams design resilient, well‑governed sociotechnical systems. She has led work on Microsoft’s Digital Defense Report and advises companies, investors, and public institutions on AI risk, cybersecurity, and technology policy, and has been recognized by outlets such as Business Insider and SC Media for her contributions to technology governance.

Bart Bussmann is an independent mechanistic interpretability researcher focused on AI safety. He holds an MSc in Artificial Intelligence from the University of Amsterdam (2016-2019) and previously worked as a Machine Learning Researcher at IDLab, University of Antwerp and imec (2019-2022). Since 2023, he has pursued independent alignment research full-time, exploring concepts learned by large language models using sparse autoencoders. His notable contributions include BatchTopK Sparse Autoencoders, Meta-SAEs, and Matryoshka SAEs, with papers published at ICLR and ICML. He has participated in the MATS (ML Alignment Theory Scholars) program and received funding from the Long-Term Future Fund to explore a technical AI alignment research direction.

Policy Lead at AI Safety Hungary, with a background in international relations and data science. Based in Budapest, he has hands-on experience working in embassies and managing events involving diplomatic staff, including prior roles at the Embassies of Kazakhstan in the UK and China and the International Diplomatic Student Association.

Jonas Vollmer helps manage Macroscopic Ventures, an AI-focused venture fund and philanthropic foundation, and has previously co-founded organizations such as the Atlas Fellowship and the Center on Long-Term Risk.

No summary available yet.

No summary available yet.

AI safety & neuroscience-inspired interpretability

No summary available yet.

No summary available yet.

Laurent Crenshaw is chair of the board at the Foundation for American Innovation. He serves as Vice President of Government Affairs at Zocdoc and previously led policy and external affairs at Patreon, following senior public-policy roles at Eaze and Yelp.

Aidan is a researcher at Giving What We Can based in Canberra, Australia. Before joining GWWC he worked as a senior epidemiologist and research officer in the Australian Capital Territory Government, and he holds a Bachelor of Philosophy (a research‑intensive science degree) from the Australian National University with honours in clinical medical research.

No summary available yet.

Co-founder and chief financier of Saving Humanity from Homo Sapiens, a philanthropic foundation he uses to support work aimed at preventing human-caused global catastrophic risks.

Ryan Lowe is an AI alignment researcher who serves as Research Ecosystem Lead at the Meaning Alignment Institute, after previously working on AI alignment at OpenAI.

No summary available yet.

No summary available yet.

Legal scholar whose work focuses on the nexus of regulatory design, innovation policy, and constitutional law. He leads the AI Innovation and Law Program at the University of Texas School of Law and serves as a Senior Fellow at the Abundance Institute, working on how emerging technologies, including AI, should be governed through law and public policy.

No summary available yet.

Scriptwriter for Rational Animations with interests in effective altruism topics such as art and fiction, mechanism design, prediction markets, and existential risk.

Lawrence Wagner brings over ten years of experience in project management, cybersecurity, and entrepreneurship, including designing and running training programs. He previously served as a Research Manager with the ML Alignment & Theory Scholars (MATS) program, where he coordinated AI safety research projects and supported scholars and mentors through the research lifecycle. He has also conducted research at UC Berkeley focused on AI governance, risk management, and the intersection of technical systems with policy and cybersecurity considerations.

No summary available yet.

No summary available yet.

Benjamin Anderson is a machine learning researcher and entrepreneur based in San Francisco, California. He holds an M.S. in Computer Science (Siebel Scholar, 4.0 GPA) and a B.A. in Philosophy with distinction (Phi Beta Kappa) from Stanford University. He was an Empirical Research Fellow at Stanford's Regulation, Evaluation, and Governance Lab (RegLab) from 2020 to 2022, where he led data science projects with the IRS on ML-based audit selection and with Santa Clara County on COVID-19 disease surveillance. He subsequently worked as an ML researcher at CarperAI, developing pipelines for legal foundation models, and as a founding engineer at Justera. He is co-founder of Taylor AI (YC S23), a San Francisco-based startup providing AI-powered text classification and data enrichment tools. He has received funding to conduct work in AI safety and actively engages with AI safety topics including model evaluation and chain-of-thought monitoring.

No summary available yet.

Kajetan Janiak (publicly known as Jett Janiak) is a mechanistic interpretability researcher from Poland who studied at the University of Warsaw, where he completed an MS in the Faculty of Mathematics, Informatics and Mechanics. He participated in the MATS (ML Alignment & Theory Scholars) Winter 2023 cohort under Neel Nanda's mentorship and later in a subsequent MATS cohort under Arthur Conmy, both in the mechanistic interpretability stream. His research focuses on understanding the internal mechanisms of transformer models, including work on polysemantic attention heads, circuit discovery in small transformers, stable regions in the residual stream of LLMs, sparse autoencoders, and chain-of-thought faithfulness in frontier models. He has co-authored several papers and Alignment Forum posts, including "Chain-of-Thought Reasoning In The Wild Is Not Always Faithful" (ICLR 2025 workshop) and "Characterizing Stable Regions in the Residual Stream of LLMs." He has also been involved with AI Safety Camp as a project lead. He received a grant from the Long-Term Future Fund to cover costs of leaving employment in order to pursue AI safety research.

Co-founder of Effective Giving and Ergo Impact, Dr. Kellie Liket is a social impact scholar who serves on the Development Cooperation Committee of the Netherlands Advisory Council on International Affairs (AIV) and completed a PhD on social impact measurement at Erasmus University after earning a master’s degree in development economics from the London School of Economics.