Database

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Amir Banifatemi is Chief Responsible AI Officer at Cognizant, where he leads the company’s global responsible AI strategy and governance across enterprise AI systems and platforms. A long-time AI entrepreneur, investor and innovation strategist, he has previously led the global AI XPRIZE and held leadership roles in initiatives such as GPAI and the OECD.AI expert community. Banifatemi serves as a board member of the International Association for Safe & Ethical AI (IASEAI) and advises international efforts on trustworthy, human-centric AI.

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Senior Recruitment Specialist at Impact Ops and recruitment and operations professional with 15+ years of international experience across the nonprofit, development, and private sectors, supporting mission-driven organizations to build high-performing teams on global priorities.

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I'm an experienced B2B tech content writer specializing in responsible tech.

Cortney Busch is Operations Director at Legal Advocates for Safe Science and Technology (LASST) and has worked in nonprofit operations for over 15 years. After obtaining her law degree and LL.M. from the City Law School, University of London, she has held operations roles in human rights and Effective Altruism organizations.

Rob Miles is an advisor to Nonlinear and a science communicator focused on AI safety and alignment. The Nonlinear team biography notes that he runs the Rob Miles AI YouTube channel and The Alignment Newsletter Podcast and collaborates with organizations such as MIRI, the Future of Humanity Institute, and the Centre for the Study of Existential Risk to help communicate their work.

Caroline Jeanmaire is an AI governance researcher and policy professional currently leading The Future Society's Washington, D.C. team, where she works with Congress and federal agencies on AI governance. She completed her DPhil in Public Policy at the University of Oxford's Blavatnik School of Government (2021-2024), where she researched models of international coordination to ensure the safety and reliability of AI systems under Professor Jonathan Wolff, supported by a Long-Term Future Fund grant. Prior to her doctorate, she served as Director of Strategic Research and Partnerships at UC Berkeley's Center for Human-Compatible AI (CHAI), where she built the research community around AI safety and managed external partnerships. Earlier, she was an AI Policy Researcher and Project Manager at The Future Society, a think-tank associated with Harvard Kennedy School, where she organized the first and second Global Governance of AI Forums at the World Government Summit in Dubai. She holds dual master's degrees in International Relations from Peking University and Sciences Po Paris, and a bachelor's degree in Political Sciences from Sciences Po Paris. She has been recognized as one of the "100 Brilliant Women in AI Ethics" and as a "35 under 35" future leader by the Barcelona Centre for International Affairs.

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Justin is the Video Specialist at Giving What We Can, producing short‑ and long‑form videos for GWWC and its subsidiary channels. He studied English and Film at Stanford University, worked at McKinsey, and has also worked as a freelance food critic, published short fiction, and produced a political podcast.

Iván Arcuschin Moreno is an AI safety researcher based in London, UK, currently serving as Lead Research Scientist at Poseidon Research, a US-based AI safety non-profit where he heads the London research team. He holds a Computer Science PhD from the University of Buenos Aires, Argentina (2018–2024), where his thesis focused on automated test generation for Android apps. He completed two terms at the ML Alignment & Theory Scholars (MATS) program: the first (Jan–Jul 2024) under Adrià Garriga-Alonso at FAR AI, producing InterpBench, a collection of 86 semi-synthetic transformers with known circuits for evaluating mechanistic interpretability techniques (NeurIPS 2024); and the second (Jan 2025–Feb 2026) under Arthur Conmy at Google DeepMind, focusing on chain-of-thought faithfulness. He is lead author on "Chain-of-Thought Reasoning In The Wild Is Not Always Faithful" (ICLR 2025 workshop, 140+ citations within a year) and a contributor to the MIB mechanistic interpretability benchmark (ICML 2025). He also co-authored a position paper with Yoshua Bengio and founded AI Safety Argentina (AISAR), a research scholarship program to grow the AI safety research community in Latin America, supported by a $77,000 grant from Coefficient Giving.

Coefficient Giving identifies outstanding giving opportunities, makes grants, follows the results, and publishes findings.

Director of the FutureTech research group at MIT and principal research scientist at MIT CSAIL and the Initiative on the Digital Economy, whose work studies the economic and technical foundations of progress in computing and artificial intelligence.

David Udell is an independent AI alignment researcher and Content Manager at Iliad, an organization focused on applied mathematics research for AI alignment. He is based in Berkeley, CA. He participated in the SERI MATS program, where he worked on Team Shard's research on shard theory under mentors including Alex Turner (TurnTrout), and has since continued full-time alignment research. His research covers mechanistic interpretability, activation engineering, and alignment distillation: he co-authored work on steering language models via activation vectors, contributed to research on understanding and controlling maze-solving policy networks, and has worked on sparse circuit discovery for GPT-2-small. He has written extensively on LessWrong and the Alignment Forum, authoring a sequence of alignment distillations titled "Winding My Way Through Alignment" and numerous posts on shard theory, interpretability, and related topics. He has received multiple grants from the Long-Term Future Fund supporting his independent research. He is currently involved with the Iliad Fellowship and Iliad Intensive, programs offering mentored technical AI alignment research, and co-organized Agent Foundations 2026 at Carnegie Mellon University.

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dumb in a fun way

Jessica Rumbelow is the CEO and co-founder of Leap Laboratories (Leap Labs), an AI interpretability startup based in London, UK. She holds a PhD in model-agnostic interpretability from the University of St Andrews (2020–2023), where she also completed an MSc in Advanced Computer Science, and her doctoral research introduced novel techniques including Hierarchical Perturbation (HiPe) and the Proxy Model Test for evaluating saliency mapping algorithms. Prior to founding Leap Labs, she worked as a Research Scientist at the University of St Andrews applying deep learning to digital pathology, and held roles as Technical Alignment Research Scientist at Aligned AI and Research Scholar at SERI (Stanford Existential Risks Initiative). She participated in the MATS (ML Alignment Theory Scholars) Summer and Autumn 2022 cohorts, during which she co-authored the widely-cited "SolidGoldMagikarp" research on anomalous tokens in GPT-2 and GPT-3 with Matthew Watkins. She has been granted the title of Affiliated Lecturer by the Department of Computer Science and Technology at the University of Cambridge, and serves on the Advisory Board of the London Initiative for Safe AI (LISA). Leap Labs received seed funding from the AI Risk Mitigation Fund to develop its universal interpretability engine.

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Cassie Robinson is a strategic designer and philanthropy practitioner focused on systems change, futures and transition design. She is currently a Director at Arising Quo and co‑founder of initiatives including the Wealth Shift Studio and The Point People, and runs a Philanthropy in Transitions Lab for Philea. She holds fellowships and policy fellowships at organisations such as the Leverhulme Centre for the Future of Intelligence and UCL’s Institute for Innovation and Public Purpose, and has previously held senior roles at the Joseph Rowntree Foundation and The National Lottery Community Fund.

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Jonathan Happel is the founder and CEO of TamperSec, a startup developing physically secure enclosures for AI hardware. He has around a decade of experience developing high-reliability medical devices, contributed to the development of risk management standards for the EU AI Act, and has a background in mechanical engineering and robotics with several patents.

Founder and strategic advisor at Successif and Assistant Professor in Technology Law and AI Governance at the European University Institute, with prior roles including Senior Policy Research Fellow at the Future of Life Institute and research and teaching positions at Washington University, Boston University, and Harvard.

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Stella Biderman is a mathematician and artificial intelligence researcher specializing in natural language processing, interpretability, and large language models. She serves as Executive Director of EleutherAI and has previously worked as a machine learning researcher at Booz Allen Hamilton, helping lead the development and open release of influential models and tools such as GPT-NeoX, BLOOM, VQGAN-CLIP, and OpenFold.([stellabiderman.ai](https://www.stellabiderman.ai/))

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Katy Moore is a Podcast Associate and production coordinator at 80,000 Hours, where she supports the production and publication of The 80,000 Hours Podcast and related content. She holds a bachelor’s degree in history from Oregon State University and a master’s degree in library and information studies from the University of Alberta, and has previously worked as a plain language specialist and content coordinator in public legal information and mental health services.

EA and AI safety community organiser who has held leadership roles at EA Hungary and AI Safety Hungary, including director and head of operations positions. He has an MSc specialising in behavioural economics, is pursuing a degree in psychology, and previously worked as a research and teaching assistant and in partner relations and sales before moving into full-time impact-focused community-building.

MATS 9 Team Shard fellow

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Research engineer at Workshop Labs PBC working on machine learning, AI alignment, and AI interpretability.

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Senior AI Policy Researcher at the Safe AI Forum (SAIF). Previously interned at Google DeepMind and the Centre for the Governance of AI, developing social impact evaluations for frontier AI models. She is an MA candidate in Computational Social Science at the University of Chicago, co‑founded the university’s Existential Risk Laboratory, and holds a BS in Philosophy, Politics, Economics from University College London.

Dave Edwards is co-founder of the Artificiality Institute, a nonprofit research organization focused on the human experience of AI. He previously co-founded Intelligentsia.ai, an AI-focused market research firm that was acquired by Atlantic Media, and has worked on Apple’s creative software products as well as investing in emerging technologies as a venture capitalist at CRV and an analyst at Morgan Stanley and ThinkEquity. He extends this work as a visiting researcher at UC Berkeley’s Center for Human-Compatible AI.

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Computer scientist affiliated with Zeroth Research, working on program analysis and formal verification, including dynamic partial order reduction, symbolic execution, and runtime monitoring tools.

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Francis Rhys Ward is an AI safety researcher who completed his PhD at Imperial College London through the Safe and Trusted AI Centre for Doctoral Training, with a thesis focused on formalising and evaluating deception in AI agents. He joined Redwood Research as an Astra Fellow in January 2025. He holds an MSc in Artificial Intelligence from Imperial College London (2019-2020) and an undergraduate degree in Mathematics from Cardiff University, including a placement at CERN and the University of Warwick on particle physics. His research spans conceptual and philosophical work, theoretical research on agents and deception, empirical evaluations of frontier AI systems, and AI control, with notable work on sandbagging (strategic underperformance on capability evaluations) and AI personhood. He is a member of the Causal Incentives Working Group, a member of the FLI AI Existential Safety Community, a scientific advisor to LawZero, and a MATS mentor. He has previously worked at the Centre for Assuring Autonomy, the Center on Long-Term Risk, the Centre for the Governance of AI, and the UK's AI Security Institute, and ran an AGI Safety reading group and seminar series at Imperial College London.

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