No summary available yet.

No summary available yet.

Yoshua Bengio is Co-President and Scientific Director of LawZero and a full professor of computer science at Université de Montréal. A pioneer of deep learning and one of the world’s most-cited scientists, he received the 2018 ACM A.M. Turing Award, founded Mila – Quebec AI Institute, and now focuses his research and public work on mitigating catastrophic risks from advanced AI, including leading LawZero’s Scientist AI approach to safe-by-design systems.

Michael T. Parker, Ph.D. is an Assistant Dean at Georgetown University's College of Arts and Sciences in Washington, D.C., where he oversees biology and chemistry majors and advises over 200 students. He holds a B.S. in Biology from Millersville University of Pennsylvania and both an M.S. and Ph.D. in Immunobiology from Yale University. Before joining Georgetown, he served as an assistant professor of immunology at McDaniel College in Westminster, Maryland. His research focuses on domestic biosecurity policy, particularly the history of U.S. select agent regulations governing the possession, use, and transfer of dangerous biological agents and toxins. He leads a team of undergraduate researchers studying the Select Agent Regulations and created the Collection of Biothreat Risk Assessments (COBRA), an open online archive enabling scholars to track and evaluate historical trends in biothreat risk assessment. He has received funding from the Long-Term Future Fund to catalog the history of U.S. high-consequence pathogen regulations, evaluate their performance, and chart a path forward.

No summary available yet.

H. Akın Ünver is an associate professor of international relations at Özyeğin University and a fellow in the Carnegie Endowment’s Digital Democracy Network, where his research explores how emerging technologies, disinformation, and computational methods shape conflict, diplomacy, and democratic politics.

Philip L is the creator of the AI Explained YouTube channel, and he also runs AI Insiders, a community of more than 1,000 professionals working in generative AI across 30 industries, while authoring the Signal to Noise newsletter on high-signal AI developments.

External Advisor to the Transformative Futures Institute whose research spans several areas relevant to longtermism and is currently focused primarily on AI governance; previously a Senior Research Scholar at the Future of Humanity Institute and holder of a PhD in Materials Science and Engineering from UCLA.

Abram Demski (legal first name Daniel) is an independent AI alignment researcher specializing in agent foundations. He joined MIRI (Machine Intelligence Research Institute) full-time in 2017 as part of the Agent Foundations team, a position he held until summer 2024 when MIRI pivoted toward governance, policy, and outreach. He is best known for co-authoring the "Embedded Agency" sequence with Scott Garrabrant and for his foundational contributions to the development of Logical Induction. His research focuses on deconfusion work around core concepts in AI safety including agency, optimization, trust, embedded world models, and computational uncertainty. He received a $30,000 grant from the Long-Term Future Fund in November 2019 for independent research on agent foundations, building on work developed during MIRI's Summer Fellows Program in 2017 and 2018. Since leaving MIRI he has continued independent research, currently supported through Patreon and serving as a mentor in the MATS (Machine Learning Alignment Theory Scholars) program.

No summary available yet.

No summary available yet.

No summary available yet.

No summary available yet.

Akbir Khan is a Member of Technical Staff at Anthropic, where he works on the Horizons team focused on building safe superintelligence. He completed his PhD at the UCL DARK Lab under the supervision of Tim Rocktäschel and Edward Grefenstette, with prior academic training in Mathematics and Physics at UCL and Computer Science at Cambridge. His research centers on Scalable Oversight techniques — particularly the use of multi-agent debate to elicit truthfulness from AI systems — as well as AI control protocols and alignment auditing. His work on LLM debate, exploring whether weaker models can assess the correctness of stronger models, received a Best Paper Award at ICML 2024 for the paper "Debating with More Persuasive LLMs Leads to More Truthful Answers." Before his PhD, he co-founded Spherical Defence Labs, an AI-powered API security startup, and also worked as a Research Analyst at Cooperative AI and a Senior Researcher at Tractable.

No summary available yet.

No summary available yet.

No summary available yet.

Kelly Anthis co-founded Sentience Institute and served as its executive director for the organizations first three years, helping to establish it through grantwriting, conference presentations, website development, and hiring and managing staff alongside co-founder Jacy Reese Anthis. Her background includes serving as Director of Communications at Sentience Politics, co-organizing a grassroots animal advocacy group, working as a front-end software engineer, and volunteering her design skills and time to multiple animal advocacy organizations.

Research Editor at ILINA, responsible for reviewing research outputs, preparing them for publication, and supporting the program’s editorial work; she is also a researcher in animal law and ethics at the International Centre for Animal Rights and Ethics.

No summary available yet.

No summary available yet.

Daniel Colson is the co-founder and executive director of the AI Policy Institute (AIPI), a think tank that researches and advocates for government policies to mitigate extreme risks from frontier artificial intelligence technologies. His work focuses on how autonomous weapons systems and other advanced AI capabilities could affect military strategy and global political stability. Before founding AIPI, he co-founded the fintech company Reserve, which provides financial services in high-inflation currency regions, and later founded the executive assistant recruiting firm CampusPA.

Hannah Erlebach is an AI safety researcher based in the UK, currently pursuing an MSc in Machine Learning at University College London (started 2024). She graduated from the University of Cambridge with a degree in mathematics (2018-2021) and subsequently founded and ran the Cambridge AI Safety Hub as its full-time organizer until summer 2023. She was a Summer Research Fellow at the Center on Long-Term Risk in 2023, working on cooperative AI. Her technical research focuses on reinforcement learning, goal misgeneralization, and cooperative AI: she co-authored "Welfare Diplomacy: Benchmarking Language Model Cooperation" (2023), which introduced a general-sum variant of Diplomacy to benchmark cooperative capabilities of language models, and co-authored "Mitigating Goal Misgeneralization via Minimax Regret" (RLC 2025), which demonstrates that minimax regret objectives are more robust to goal misgeneralization than maximum expected value objectives. She has received multiple grants from the Long-Term Future Fund to support her independent AI safety research, including funding to complete a goal misgeneralization project for an ICLR submission.

No summary available yet.

Jessica Cooper (also known professionally as Jessica Rumbelow) is the founder and CEO of Leap Laboratories, an AI interpretability startup based in London. She holds a PhD in model-agnostic AI interpretability, an MSc in Advanced Computer Science, and a BA in Fine Art, all from the University of St Andrews, where she also worked as a Research Scientist applying deep learning to digital pathology. She participated in the MATS (ML Alignment & Theory Scholars) Autumn 2022 cohort, during which she co-authored the widely-cited "SolidGoldMagikarp" paper with Matthew Watkins, discovering anomalous tokens that cause failure modes in GPT-2 and GPT-3 models. She subsequently worked at Aligned AI and the Stanford Existential Risks Initiative before founding Leap Laboratories in 2023, which received seed funding from the AI Risk Mitigation Fund to develop a model-agnostic interpretability engine. She serves on the Advisory Board of the London Initiative for Safe AI (LISA) and is an Affiliated Lecturer at the University of Cambridge, where she co-taught a course on Explainable AI. In March 2022, she received LTFF funding to trial a new London organisation aimed at significantly increasing the number of AI safety researchers.

Lawyer based in Spain specialising in technology regulation and AI governance, with an LL.M. in the field from the University of Edinburgh and experience in Brussels at the Center for Democracy and Technology Europe and other organisations; joined AI Standards Lab to contribute legal and policy expertise to CEN-CENELEC JTC21 standards supporting the EU AI Act.

No summary available yet.

Charlie Rogers-Smith is Chief of Staff at Palisade Research, an organization that studies dangerous AI capabilities to better understand misuse risks and advises policymakers on AI risks. He holds an MSc in Statistics from the University of Oxford and a BSc in Mathematics from the University of St Andrews, and has conducted research at Aalto University, Imperial College London, and the Future of Humanity Institute at Oxford. He previously worked as an instructor at the Center for Applied Rationality (CFAR) and has done predoctoral ML research at Oxford and Cambridge, including interpretability work with Adrian Weller. His published research includes co-authoring the 'Badllama' paper demonstrating that safety fine-tuning can be removed from Llama 2-Chat 13B for under $200, and epidemiological work on COVID-19 intervention effectiveness. He received a $7,900 grant from the Long-Term Future Fund in September 2020 to support a research period at Oxford while applying to AI alignment PhD programs, and has written an influential career guide on pursuing technical AI alignment research.

No summary available yet.

Sumaya Nur Adan is a DPhil candidate at the University of Oxford researching decentralized AI security infrastructure and its role in enabling trustworthy and beneficial AI deployment globally. She previously served as an AI Risk Analyst at the UK Department for Science, Innovation and Technology working on AI risk assessment, is a research affiliate at the AI Governance Initiative leading work on the Global AI majority, and has contributed to international initiatives including the ITU AI for Good Summit 2025 and the African Commission’s work on AI and human rights.

Founder and Executive Director of CARMA with over two decades of experience in machine learning and AI, focused on advanced AI safety since 2010 and also serving part‑time as Principal AI Safety Strategist at the Future of Life Institute.

Co-founder and research lead at Simplex, with extensive experience in experimental and computational neuroscience. He earned his PhD from Caltech and has over a decade of work investigating the neural basis of intelligent behavior, most recently as a researcher at Stanford, and now focuses on developing principled methods for controlling and aligning increasingly advanced AI systems.

No summary available yet.

No summary available yet.

No summary available yet.

Jason Hoelscher-Obermaier is the Director of Research and former co-director at Apart Research, where he focuses on accelerating AI safety progress through research sprints, fellowships, and safety evaluations of large language models and other advanced AI systems.

No summary available yet.

No summary available yet.

No summary available yet.

No summary available yet.

Jan Hendrik Kirchner is a researcher at Anthropic working on AI alignment and safety, focused on scalable oversight methods and ensuring AI systems behave reliably. He previously worked as a research engineer at OpenAI (2022–2024), where he co-authored the influential "Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision" paper. He holds a PhD in computational neuroscience from the Max Planck Institute for Brain Research in Frankfurt, Germany. His connection to AI safety research began through participation in AI Safety Camp (AISC6, 2022), where he worked on a project analyzing the AI alignment research landscape. He is active in the AI safety community through his Substack newsletter "On Brains, Minds, And Their Possible Uses" (universalprior.substack.com), as well as contributions on LessWrong and the AI Alignment Forum under the handle "jan-2". His work sits at the intersection of computational neuroscience, language models, and alignment research.

Program Lead for the AI Supply Chain Observatory at the AI Objectives Institute and Founder and Chief Strategy Officer of Arkestro, a predictive procurement orchestration platform. His work focuses on applying AI and advanced analytics to improve supply chain resilience and procurement decisions.

No summary available yet.

No summary available yet.

Seemay Chou is Chair of the Board of The Navigation Fund and a scientist by training. She is a Pew Scholar, co-founder and CEO of Arcadia Science, and a board member of Astera. Previously, she served as an Assistant Professor in Biochemistry and Biophysics at UCSF and earned her PhD in Molecular Cell Biology from UC Berkeley; she grew up in Texas.

Félix Andueza Araque (冯德睿) is a philosopher and AI researcher from Ecuador whose work spans philosophy, international relations and computer science. He holds degrees in International Relations and in Philosophy, has completed a master’s in Philosophy, Politics and Economics, and is pursuing further graduate study in education and artificial intelligence. His research focuses on the philosophy and ethics of AI and on connecting Western and Chinese philosophical traditions to contemporary questions about emerging technologies.

No summary available yet.

Program Manager at Singapore AI Safety Hub, previously Production Lead for EAGxSingapore 2024 at Effective Altruism Singapore and Innovation Associate at The Good Food Institute APAC; earlier worked at foodpanda and studied Environmental Studies at Yale-NUS College.