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Clear filtersPetr Salaba is a documentary filmmaker and science communicator focused on AI alignment. His recent work includes Youtube video essays for the Dwarkesh Patel Podcast.
Showing 1001-1050 of 3956 results
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Executive in the nonprofit sector
James Norris is the Founder and Executive Director of the Center for Existential Safety and the Founder and CEO of Upgradable and Survival Sanctuaries, with over 20 years of experience in social entrepreneurship, behavior change, and systems innovation. He has co-founded or helped build 27 organizations, including the international conference for the effective altruism movement.
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Samuel Hammond is director of Artificial Intelligence Policy and chief economist at the Foundation for American Innovation, where his research focuses on innovation policy, artificial intelligence, and the institutional impact of emerging technologies. He previously served as director of social policy at the Niskanen Center, worked as an economist for the Government of Canada, and was a graduate research fellow at the Mercatus Center.
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Bryce Hidysmith was previously a designer and strategist for the hedge fund Numerai and writes essays at hidysmith.com.
Executive Director of CEEALAR, where he is leading its evolution into a high-impact EA hub. He brings experience in R&D leadership at global organisations, the startup ecosystem, education, customer service and military service, and focuses on creating communities where talented people can do impactful work.
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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.
Extending an AI control evaluation to include vulnerability discovery, weaponization, and payload creation
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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).
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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.
B.S. Behavioral Economics; Biz dev lead and PM for various early-stage tech startups, mostly in the Medtech and AR/VR space.
Funding top-up for an early-career reseacher to attend Global Challenges Project (GCP) Workshop for career exploration in mitigating GCRs
344 MIT rules merged into Microsoft Agent Governance Toolkit, Cisco AI Defense, MISP, OWASP. Microsoft Copilot SWE Agent uses ATR for CVE triage.
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.
4-month grant to conduct deceptive alignment evaluation research and explore control and mitigation strategies
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.
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Help us solve the talent and funding bottleneck for EA and AIS.
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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.
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AI safety & neuroscience-inspired interpretability
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