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Clear filtersOne of the world's oldest and most prestigious research universities, Oxford has been a central hub for AI safety and existential risk research through institutions like the Future of Humanity Institute (FHI) and the Oxford Martin AI Governance Initiative (AIGI).
Showing 1801-1850 of 3168 results
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President and Partner at Flow Research Collective and Venture Partner at multiple early-stage funds including Lionheart Ventures, Pioneer Fund, Essence Venture Capital and 1024 Ventures, as well as Limited Partner Advisor at GTMfund.
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Paul Colognese is an AI safety researcher based in the United Kingdom, focused on understanding how AI systems represent and self-reflect on their goals and beliefs. He holds a PhD in Mathematics (Geometry, Topology, and Dynamical Systems) from the University of Warwick, where he researched translation surfaces under the supervision of Professor Mark Pollicott. His AI safety work includes building safety evaluations for Anthropic and the UK AI Security Institute, including control and sabotage evaluations that measure whether deployed AI agents could undermine safety systems. He has conducted AI threat modeling on catastrophic risk scenarios and carried out interpretability research in which he demonstrated the ability to detect an AI system's objectives through technical analysis. He participated in the MATS research program mentored by Evan Hubinger at Anthropic. He founded the London Initiative for Safe AI, a UK-based research center, and serves as AI Alignment Lead at the Center for the Study of Apparent Selves. He is active on LessWrong and the Alignment Forum, and participated in AI Safety Camp (AISC9) working on detecting agentic AI objectives via interpretability methods.
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Sam F. Brown is an independent AI alignment researcher based in Oxford, UK. He has a background in physics and programming, and previously worked at a climate technology startup before pivoting to full-time alignment research. He has received two grants from the EA Long-Term Future Fund: an initial six-month grant (approximately £40,000) for research on goal-inference and choice-maximisation, and a subsequent twelve-month grant ($82,298) to research technical approaches to value lock-in and minimal paternalism. His work explores empowerment-based alignment — the idea of maximising humans' capacity to reach diverse future outcomes rather than inferring and locking in specific human values. He has published research essays on LessWrong and the EA Forum, including "The Empowerment of Others" and "Questions about Value Lock-in, Paternalism, and Empowerment". He is connected to the Oxford rationalist and EA community and works from spaces including Trajan House, the Centre for Effective Altruism's Oxford building.
Co-director of the Cambridge AI Safety Hub, working on AI safety fieldbuilding in Cambridge, UK. Previously a political science PhD candidate at SUNY Stony Brook, with experience in research and teaching before moving full-time into AI safety.
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Director of Operations at the AI Safety Awareness Project. Trained as a mechanical engineer, he previously worked as a design engineer at Boeing across commercial and defense programs, focusing on structural design, destructive testing, and product development. He holds a B.S.E. and an M.S. in Mechanical Engineering from Arizona State University and, beginning in 2024, transitioned from aerospace engineering into operational work and AI safety outreach.
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Straumli is an AI safety company that offers managed auditing and self-serve evaluations to help AI developers identify misuse risks and ship safer models faster.
Yoel Roth is a nonresident scholar in the Technology and International Affairs Program at the Carnegie Endowment for International Peace and senior vice president of trust and safety at Match Group; he previously led Twitter’s trust and safety team and now focuses on governance and safety for social media and AI systems.
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George Green is an open-source intelligence (OSINT) researcher who received funding from the Long-Term Future Fund to support living costs during an additional semester in the US and to purchase OSINT equipment and software. The grant suggests involvement in intelligence research with potential relevance to existential risk or AI safety topics, though further details about this individual's affiliations and work are not publicly available.
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Maxwell (Max) Clarke is a New Zealand-based software engineer and independent AI alignment researcher. He holds a Master of Science in Computer Science from Victoria University of Wellington (2020-2022), where his thesis focused on applying transformer models to hand motion modelling, and a Bachelor of Science in Computer Science from the University of Canterbury (2015-2018). After completing his MSc, he received a grant from the Long-Term Future Fund to pursue career exploration in AI alignment, during which he conducted independent research in AI interpretability in 2023. He currently works as a Python backend developer at the New Zealand Stock Exchange (NZX). He is an active participant in the Effective Altruism community in New Zealand and has spoken publicly on AI safety approaches and careers.
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Gavin J. Taylor is a researcher affiliated with the Institute for Globally Distributed Open Research and Education (IGDORE), based in São Carlos, Brazil. He studied at the University of Queensland and consults for Resonant Health Inc., a company developing a medical device using low-dose microwaves for antiviral applications. His research focuses on physical virology, microwave viral inactivation, optical simulations, and Micro-CT imaging. In 2020, he received a $30,000 grant from the Long-Term Future Fund to conduct a computational study on using a light-to-vibrations (L2V) mechanism as a targeted antiviral, with the aim of identifying viruses susceptible to inactivation via resonant vibrational frequencies. He has published peer-reviewed work including a 2024 paper in Applied Physics Reviews on virus inactivation by matching vibrational resonance, and a 2023 comment in Viruses correcting mathematical errors in SARS-CoV-2 microwave inactivation research. His work is recognized as providing a mathematical model for predicting microwave frequencies effective for viral inactivation.
Charbel-Raphaël Segerie is Executive Director and co-founder of CeSIA, the French Center for AI Safety, and an OECD AI expert. His bio notes that CeSIA is part of the EU AI Office’s evaluator consortium for the Code of Practice on harmful manipulation risks, and that he helped initiate and co-lead the Global Call for AI Red Lines, an international campaign for binding limits on catastrophic AI risks.
Chana Messinger is Head of Video at 80,000 Hours and leads the team behind the AI In Context YouTube channel. She is an effective altruist and rationalist with a background in writing and education, and has been experimenting with short‑form and long‑form video to communicate the risks of transformative AI and what people can do about them. In addition to her work at 80,000 Hours, she maintains a personal blog and online presence discussing reasoning, ethics, and AI.
Bálint Árpád Pataki is a Senior Advanced AI Policy Researcher at the Centre for Future Generations (CFG), based in Brussels, where he focuses on EU artificial intelligence innovation policies and communicates research findings directly to policymakers. He holds an MPP from the Blavatnik School of Government at the University of Oxford (Green Templeton College, class of 2022) and an undergraduate degree in Public Policy and Economics from Leiden University College. He previously worked as an Accredited Parliamentary Assistant for MEP Eva Maydell, contributing to EU AI Act negotiations and advising on EU AI, biotechnology, and quantum policies. His research and advocacy have focused on supporting the European Commission's work on establishing a CERN-for-AI initiative — an international public-private partnership for trustworthy frontier AI development — and his work has been featured in Euractiv, Tagesspiegel, Science Business, Parliament Magazine, and Tech Policy Press. He has lectured at Oxford, Cambridge, and Leiden universities and briefed US Congressional staffers on EU AI policy developments. He participated in the ML Safety Scholars program while studying AI policy at Oxford.
Daniel is a Senior Growth Specialist at Giving What We Can, helping connect more people with the 10% Pledge and effective giving by working across the digital product and marketing experience. Before joining GWWC, he co‑founded an online school and resource platform for facilitators, focusing on brand, website and product experience, and since moving from Germany to the Netherlands in 2020 he has been active in the Dutch effective altruism community.
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Operations and community-building specialist with a Master’s degree in cognitive psychology. She joined EA Hungary in 2024, where she plays a key role in operations and course facilitation, and also supports AI Safety Hungary as an operations advisor.
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Jessica Taylor has worked as a mathematical researcher at the Machine Intelligence Research Institute, holds an MS in Computer Science from Stanford University, and blogs at unstableontology.com.
Dan Schwarz is the co-founder and CEO of FutureSearch. He holds a BS in Symbolic Systems from Stanford University and previously served as CTO at Metaculus, was a senior software engineer at Google and Waymo, and created Google’s internal prediction market.
David Abecassis is a Technical Governance Researcher at the Machine Intelligence Research Institute (MIRI), where he focuses on strategies to mitigate risks from frontier AI development, particularly technical mechanisms for halting dangerous AI activities. He holds a BS in Symbolic Systems from Stanford University. Before joining MIRI, he was the lead designer of Teamfight Tactics at Riot Games, with a background in rapid prototyping of strategy games and social system architecture. He participated in the MATS Summer 2024 program under the mentorship of Lisa Thiergart, where he developed forecasts of US-China relations in the context of transformative AI. His research includes co-authoring papers on technical requirements for halting dangerous AI activities and an international agreement to prevent the premature creation of artificial superintelligence. He has submitted recommendations to the US AI Action Plan advocating for preserving the option to halt AI development as a safeguard against existential risks from artificial superintelligence.
Kyle Redman is a researcher and practitioner of deliberative democracy who serves as Democracy Lead at the AI & Democracy Foundation and Program Manager at the Federation for Innovation in Democracy – Europe, and was previously Research and Design Director at the newDemocracy Foundation.
Nick Beckstead is co‑founder and CEO of the Secure AI Project, an advocacy organization developing pragmatic policies to reduce risks of severe harm from advanced AI. Previously he was an early employee and Program Officer at Open Philanthropy, worked as Policy Lead at the Center for AI Safety, served as CEO of the FTX Future Fund, and was a research fellow at Oxford University’s Future of Humanity Institute. He holds a BA in mathematics and philosophy from the University of Minnesota and a PhD in philosophy from Rutgers University.
AIPN is a bipartisan 501(c)(4) advocacy organization that lobbies the U.S. federal government to enact policies preparing America for the emergence of AGI and advanced AI systems. It brings together government leaders, technology policy experts, and technical researchers to champion human control of transformative AI.
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Adrian Dumitrescu is a mission design engineer and aerospace researcher serving as Mission Design Lead at Astera Institute, where he works on advanced space mission concepts and spacecraft structures. He previously held a Mission Design Engineer role at Astera, co-founded and is CTO of AIM Space, contributed to projects with the Romanian Space Initiative and Astroscale, and holds a PhD in aerospace engineering from the University of Southampton focused on 3D-printed structures for spacecraft applications.
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Beth Barnes is the founder and CEO of METR, where she leads a growing technical team that designs and runs evaluations of generative AI models to assess catastrophic risks from frontier systems. Before founding METR she worked with DeepMind’s Chief Scientist on scaling laws to forecast deep‑learning progress and at OpenAI, where she helped develop safety targets and evaluated scalable oversight techniques and code models for misalignment before deployment; she previously studied computer science at the University of Cambridge.
Matthew MacInnes is an Australian student affiliated with the School of Regulation and Global Governance (RegNet) at the Australian National University in Canberra. His undergraduate background is in philosophy, where he wrote his honours thesis on the moral significance of future persons. He subsequently pursued a Graduate Diploma of International Affairs at ANU, supported by a Long-Term Future Fund grant covering 7 months of salary. His current research focus is on questions surrounding the regulation of artificial general intelligence, which he views as a technology with potentially transformative effects on the long-term future of humanity.
