Database

A research center at Brown University focused on AI governance, policy, and socially responsible computing, housed within the Center for Technological Responsibility, Reimagination and Redesign (CNTR) at the Data Science Institute.

Tom Gruber is an AI product designer, inventor, and entrepreneur best known as co‑founder, CTO, and head of design for the team that created Siri, later acquired by Apple. He now advocates for “humanistic AI,” advises organizations on using AI to augment human intelligence, and serves as a scientific advisor to the Center for Humane Technology.

A major public research university in Seattle with significant AI research programs, including responsible AI and AI safety-relevant work through its Paul G. Allen School of Computer Science & Engineering and the RAISE center.

Edward Yee is the Head of Strategic Projects at FAR.AI, working across operations, strategy, and special projects. He is a serial social entrepreneur whose ventures have been funded by organizations such as Sequoia Capital, the UNDP, Y Combinator, and SV Angel. He holds two master’s degrees from Oxford University as a Rhodes Scholar, was valedictorian of his class at Nanyang Technological University, and has been recognized as an Obama Leader, a Commonwealth Youth Award for Asia recipient, and a Forbes 30 Under 30 honoree.

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Linda Linsefors is a physicist turned independent AI safety researcher and organizer based in London. After a PhD in loop quantum cosmology, she shifted focus to AI alignment, co-initiated the first AI Safety Camp, and has since worked on theory-focused alignment research (including work on superposition and Newcomblike environments) and on organizing and advising AI safety programs.

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Head of Societal Resilience at the UK AI Security Institute and former Associate Director at the Ada Lovelace Institute, with around a decade of experience working at the intersection of technology, law and society.

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Software engineer on the MIT AI Risk Initiative at MIT FutureTech with a background in AI research, embedded software, and systems engineering, and a Bachelor of Science in Engineering from Harvey Mudd College.

A nonprofit research institute that develops methods to align AI systems, markets, and democratic institutions with what people genuinely value, using an approach they call full-stack alignment.

Research Associate in the Department of Computer Science at the University of Oxford’s OXCAV group with a PhD in Computer Science from the University of Buenos Aires, where he specialized in formal methods for distributed systems; his current work focuses on connecting formal verification and AI safety.

Jérémy Andréoletti is an AI Security Researcher at the General-Purpose AI Policy Lab, where he builds models to forecast AI capabilities and emerging risks, and he recently completed a PhD in computational evolutionary biology at École Normale Supérieure in Paris.

Operations Manager at Probably Good who specializes in building systems that drive impact; previously supported youth health and education initiatives in Botswana and led operations for an international professional training organization based in Mexico City.

PhD student in the ML4STS Lab working on benchmarking fair coding assistants to assess LLM performance across dimensions such as bias mitigation and code quality.

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Blake Pierson is a serial entrepreneur and nonprofit leader who helped co‑found and scale the apartment‑rental startup Lovely and later worked in senior roles at companies such as Opendoor before focusing full‑time on philanthropic and nonprofit work with organizations including the Future of Life Institute, Ergo Impact, Rainbow Gardens, and Fathom.

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Eli Sugarman is Director of Special Projects at the William and Flora Hewlett Foundation, where he focuses on catalytic opportunities at the intersection of security and emerging technologies, and serves on the Board of Directors of the Institute for Security and Technology as well as boards of organizations such as ROOST and Girl Security.

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Programme and Research Director at the School of International Futures, with over twelve years’ experience delivering strategic foresight and research projects for governments, non‑profits and academic institutions.

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Strategic advisor at the AI Objectives Institute and Program Co-Lead for the AI Supply Chain Observatory, where she applies interdisciplinary expertise in ecology, science communication, and AI ethics to address disruptions in life-sustaining supply chains. She is also known as the co-founder of MICRO, a distributed network of small science museums.

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Leap Labs builds AI-powered interpretability tools to accelerate scientific discovery by finding patterns in complex datasets that humans and standard methods miss.

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Jerremy Holland is Director of AI Research at Apple, where he leads the AI Research group working on artificial intelligence and machine learning for areas such as autonomous systems, natural interaction, and health and wellness, and he serves as chair of the board of directors at Partnership on AI. He has an extensive track record in AI and machine learning research and holds multiple patents in the field.

Alfie Lamerton is a UK-based AI safety researcher and founder of Formation Research, an organization focused on quantifying and minimizing lock-in risk — the risk that harmful or oppressive features of the world become permanently stabilized, particularly through AI-enabled authoritarianism and power concentration. He is also a part-time research assistant at King's College London working on clinical machine learning benchmarking, and holds an MSc from King's College London. He participated in the MARS (Mentorship in Alignment Research Students) London programme, through which he conducted a literature review on in-context learning hypotheses and their implications for automated AI alignment research, supported by a Long-Term Future Fund grant. His research interests span lock-in risks, recommender system alignment, AI-enabled totalitarianism, and governance-informed technical interventions. He writes about these topics on his Substack and has published related work on LessWrong.

Patrick Mellor previously taught philosophy at San Francisco State University, has conducted research on episodic memory and temporal perception, biogeography and vertebrate phylogeny, and herring communication, and holds a BSc in Biological Sciences and an MA in Philosophy from San Francisco State University.

Director of Sage, the nonprofit behind AI Digest, Fatebook, and Quantified Intuitions, with a background in computer science, philosophy, and HCI research and previous work at Clearer Thinking.

Executive Director of Effective Thesis, leading its work to empower students to focus their theses and careers on the world’s most pressing problems by providing programs, resources, and initiatives such as the Effective Thesis Pledge and Effective Thesis Fellowship that help them use academic research as a pathway to real-world impact.

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Researcher at the Existential Risk Observatory with a background in mathematics, physics, and software development, providing technical expertise on AI evaluations and connecting technical and policy perspectives.

Mila is the Quebec Artificial Intelligence Institute, the world's largest academic research center for deep learning, founded by Turing Award winner Yoshua Bengio. It brings together over 1,400 researchers and professors to advance AI for the benefit of all, with responsible and safe AI as a core strategic priority.

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Shaowei Lin is a mathematician and machine learning researcher whose work spans singular learning theory, spiking neural networks and program synthesis. He serves as Chief Scientist at the Beneficial AI Foundation and helps lead BAIF’s AI‑assisted formal verification and vericoding research, including contributions to projects such as Signal Shot and the vericoding benchmark.

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David Scott Krueger is an AI safety researcher and Assistant Professor in Machine Learning at the University of Montreal and Core Academic Member at Mila, the Quebec Artificial Intelligence Institute, where he holds a CIFAR AI Chair and the IVADO Professorship in Responsible AI. From 2021 to 2024 he was an Assistant Professor at the University of Cambridge, where he founded and led the Krueger AI Safety Lab (KASL), an AI safety research group based in Cambridge's Computational and Biological Learning Lab. He completed his PhD training under Yoshua Bengio, Roland Memisevic, and Aaron Courville at Mila/Université de Montréal (2013–2021) and interned at Google DeepMind's AI Safety team in 2018. His research spans deep learning, AI alignment, and AI safety, with notable contributions to understanding goal misgeneralization, algorithmic manipulation, reward hacking, robustness, and learning from human preferences. In 2023 he served as a research director on the founding team of the UK AI Security Institute and initiated the CAIS Statement on AI Risk. In 2025 he founded Evitable, a nonprofit aimed at informing the public about societal-scale AI risks.

Events organizer at the Existential Risk Observatory with a degree in geography and prior experience in foresight and operations consulting, supporting the organization’s events.

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