Jesse Hoogland is co-founder and executive director of Timaeus, an AI safety organization currently working on singular learning theory and developmental interpretability, a research agenda that aims to detect, locate, and interpret phase transitions in neural networks.

Josh works on threat modeling at METR, investigating scenarios where AI systems could cause catastrophic harm. He previously published technical AI safety research and safety cases (arguments that given AI systems are safe). Before that, he was a project manager at the Center for AI Safety.

Gabriel Weil joined Touro Law in 2022, teaching law and artificial intelligence and torts. His primary interests are in AI governance and climate change law. Weil's research includes the role of tort law in mitigating AI risks and critiques of the Learned Hand formula for negligence. He previously served at the University of Wyoming, the Climate Leadership Council, UC Irvine, and the White House Council on Environmental Quality. Weil holds a J.D. from Georgetown, an LL.M. from Pace, and a B.A. from Northwestern.

Jamie is a research fellow at the Institute for AI Policy and Strategy (IAPS), exploring how to help society adapt to advanced AI. He recently completed the 2024 Winter Fellowship at the Centre for the Governance of AI, where he co-authored a paper on Societal Adaptation to Advanced AI. He previously ran the AI Safety Fundamentals course, having co-founded the education charity BlueDot Impact.

Hauke Hillebrandt, PhD, is CEO of the Center for Applied Utilitarianism, an AI strategy think tank. Previously, he founded Lets-Fund.org and held research positions at the Center for Global Development, the Center for Effective Altruism, Harvard, and UCL.

Alan is a final-year PhD student at Mila and a research scholar at GovAI. His research focuses on governing AI agents.

Olli is a Visiting Fellow at Constellation working on technical AI safety. His research focuses on risks from deceptively aligned AI models, conducting empirical experiments to obtain information about the likelihood and nature of such threat scenarios. Previously, he completed a PhD in pure mathematics at the University of Turku.

Nicholas is a third-year Ph.D. student in economics at UCLA and part of MIT FutureTech, working on innovation and computing. His research focuses on the implications of AI and other new computing technologies on productivity and innovation, and on governance mechanisms for the optimal development and deployment of technologies with negative externalities. His work has been published in Research Policy and the Journal of Conflict Resolution.

John Bliss is an Assistant Professor at the University of Denver Sturm College of Law and affiliate faculty at the Institute for Law & AI and the Harvard Law School Center on the Legal Profession. He holds a JD and a PhD from UC Berkeley. His research empirically examines the relationship between lawyers' public interest values and their professional identities. This has included sociological studies of law students and young lawyers in the US and China, historical research on the early civil rights movement, and ongoing studies of the movements for animal rights and the mitigation of AI risk.

Usman is a PhD student at University of Cambridge. He is the recipient of Open Phil AI Fellowship and Vitalik Buterin fellowship on AI Safety from Future of Life Institute. He is primarily interested in foundational research on AI alignment, with a current focus on understanding in-context learning; and understanding generalization behaviors of RL trained AI agents. His most recent work is an agenda-paper on Foundational Challenges in LLM Alignment and Safety.

Cas is a PhD candidate at MIT advised by Dylan Hadfield-Menell. He works on tools for trustworthy, safe AI. His research emphasizes interpretability, robustness, and auditing. Before his Ph.D, he worked with the Harvard Kreiman Lab and the Center for Human-Compatible AI. Hobbies of his include biking, making hot sauce, growing plants, and keeping bugs.

Lorenzo is a research associate at the Leverhulme Centre for the Future of Intelligence, University of Cambridge, working on AI capabilities evaluation with Prof José Hernández-Orallo and Dr Lucy Cheke. He previously evaluated large language models and worked on AI standards for the European AI Act at the Future of Life Institute. Lorenzo holds a PhD in Statistics and Machine Learning from Oxford, where he worked on Bayesian simulation-based inference and generative neural networks. He has a Bachelor's in Physical Engineering and an MSc in Physics of Complex Systems.

Carlos is a Principal Investigator at the Alan Turing Institute. At the moment, he researches AI alignment, LLM evaluations, Ethics and AI Safety. He has worked around the different steps of the ML pipeline: data collection, data quality, preprocessing, modeling, and monitoring. He is fortunate to have pursued his passions at world-class research and public institutions. In the past, he has been: a Marie Sklodowska-Curie research fellow, a statistician at the European Central Bank, a consultant at Deloitte, an industry researcher at BSC, CSIC, Schufa, AEMET and BBC.

Robert is a 4th year PhD student at UCL and a research scientist at the UK AI Safety institute. He's interested in understanding language models fine-tuning and generalisation, with the goal of mitigating both misuse and misalignment risk from advanced artificial intelligence. He's previously interned at Meta AI with Roberta Raileanu, and before his PhD worked as a software engineer and did his undergrad and masters at the University of Oxford.

Vice Admiral Robert Thomas retired from the U.S. Navy in January 2017 after 38 years of service. He is now a Senior Research Fellow at UC's Institute on Global Conflict and Cooperation and a full-time faculty member at UC San Diego's Graduate School of Global Policy and Strategy. His last operational tour was commanding the U.S. 7th Fleet, and his final assignment was Director of Navy Staff at the Pentagon. He holds a B.S. in Civil Engineering from UC Berkeley and an M.A. in National Security Studies from the National War College. His awards include The Order of the Rising Sun and The Republic of Korea Order of National Security Merit.

Fazl is a Research Fellow at the Torr Vision Group, University of Oxford, where he focuses on safety and interpretability in AI systems. He is affiliated with the Centre for the Study of Existential Risk and the Krueger AI Safety Lab at the University of Cambridge, as well as the Future of Life Institute.