Luisa Rodriguez is a research analyst and podcast host at 80,000 Hours, where she co‑hosts The 80,000 Hours Podcast. Previously she researched civilisational collapse at the Forethought Foundation for Global Priorities Research and nuclear risk at Rethink Priorities and as a visiting researcher at Oxford’s Future of Humanity Institute. Before moving into existential risk and global priorities, she worked on cost‑effectiveness analysis of nonprofit and government programmes at organisations including ImpactMatters, Innovations for Poverty Action, and GiveWell.

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Marieke de Visscher has been involved with Effective Altruism Netherlands for more than seven years, first as a volunteer and board member and later as co-director, helping to build the organisation from an all-volunteer group into a staffed nonprofit.

Cognitive scientist who obtained a PhD from the Graduate School of Systemic Neurosciences at LMU Munich, worked on the sense of agency and related topics as a postdoc at the Max Planck Institute for Human Cognitive and Brain Sciences and LMU, and has broader interests at the intersection of science and philosophy.

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Michael A. Osborne is Professor of Machine Learning at the University of Oxford, where he leads the Bayesian Exploration Lab, directs the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems, and serves as an Official Fellow of Exeter College. He is Co-Director of the Oxford Martin AI Governance Initiative and co-founder of the AI company Mind Foundry, and his research spans Bayesian optimisation, Gaussian processes, probabilistic numerics and the broader societal impacts of machine learning and AI governance.

Soren Dayton is director of the American Governance Policy team at the Foundation for American Innovation, where he leads work to strengthen U.S. governing institutions. He has spent two decades at the intersection of politics and policy, including directing governance initiatives at the Niskanen Center and Protect Democracy, serving as a congressional staffer, and working on high-profile Republican campaigns and political organizations.

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Co‑founder and head of research at the Centre pour la Sécurité de l’IA (CeSIA), where he leads the BELLS project on benchmarking large language model safeguards. His background is in AI interpretability, with work on mechanistic interpretability and language model analysis presented at top machine‑learning conferences.

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David Timis is a keynote speaker focused on the impact of AI on the future of work and serves as Global Communications & Public Affairs Manager at Generation, where he oversees global storytelling and EU-level advocacy while speaking and writing regularly on AI, skills, and labour markets.

Founder of the AI Whistleblower Initiative, Karl has been involved in responsible AI since 2016, beginning as a volunteer researcher at the Future of Humanity Institute. He later worked as a management consultant and founded a SaaS business that was acquired in 2023.

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Jade Zaslavsky is a biosecurity researcher working on the application of machine learning to detect genetic engineering in pathogens. In June 2022, Zaslavsky received an $85,000 research stipend from the Long-Term Future Fund (LTFF) to support a 12-month project developing ML models for this purpose. This area of research sits at the intersection of computational biology and biosecurity, focusing on identifying signatures of genetic modification in pathogen sequences to support attribution and early warning capabilities. Zaslavsky has an account on the Effective Altruism Forum, created in July 2020, though no public posts or comments are available.

Dr Kerry McInerney (née Mackereth) is an AI ethics researcher whose work focuses on how artificial intelligence intersects with race, gender, inequality and global politics. She has held roles as a Research Fellow and Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence, co‑leading the Global Politics of AI project, and is a Lecturer in AI at the University of Auckland School of Computer Science as well as a Research Fellow at the AI Now Institute. She co‑hosts The Good Robot podcast on feminism and technology, is an AHRC/BBC Radio 3 New Generation Thinker, and is co‑editor or co‑author of volumes such as Feminist AI and The Good Robot: Why Technology Needs Feminism.

Claudio Mayrink Verdun is a Research Manager at the Cambridge Boston Alignment Initiative, supporting fellows on technical AI safety projects and contributing to research outputs showcased on CBAI’s research page.

PhD candidate at the University of Groningen and visiting researcher in Dr Francisco Cruz’s lab at UNSW, whose research focuses on fundamental reinforcement learning methods, particularly improving efficiency and reducing bias, and who is listed as an affiliate of ARAAC.

AI safety researcher and consultant working with the Truthful AI group, after more than a decade as a software developer; ARENA and Astra Fellowship alumnus focused on out-of-context reasoning in large language models and related alignment problems.

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Dequn Teng is a third-year PhD candidate in Engineering at the University of Cambridge’s Institute for Manufacturing (IfM), where he researches how human–algorithm interactions affect analytical creativity in algorithmic trading and the strategic value creation of emerging algorithmic innovations. His work bridges computer engineering, technology management and organisational strategy, and he serves as Vice President of the Cambridge Algorithmic Trading Society (CUATS).

German- and Ontario-trained lawyer specializing in data and AI governance, working as a consultant on privacy and AI compliance, a privacy thought leader at Private AI, and serving as Policy Lead and Board Member at AI Governance and Safety Canada.

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Zak Kukoff is a non-resident senior fellow at the Foundation for American Innovation and chairs the tech and venture practice at Lewis-Burke Associates, where he lobbies on behalf of technology companies and venture firms. Previously he was a principal at General Catalyst, leading early-stage investments across healthcare, enterprise software, and AI, and he earlier founded and sold an education technology startup.

David Staley received a small grant from the Long-Term Future Fund to maintain a copy of the alignment research dataset in the Arctic World Archive for five years. The Arctic World Archive is a long-term data preservation facility located in a decommissioned coal mine in Svalbard, Norway, designed to store digital data for centuries using ultra-durable piqlFilm. Beyond this grant, no further public information about David Staley's background, affiliations, or other work in AI safety or related fields was found.

Research Director at the Golden Gate Institute for AI and a board member at QURI. She previously served as a U.S. diplomat, founded DC Abundance, is an Emergent Ventures grantee, and writes the Positive Sum Substack on institutions, innovation, and governance.

Sjir is the CEO of Giving What We Can, a role he has held since November 2024. He first joined GWWC in August 2022 as Director of Research, where he established the organisation’s impact evaluation and “evaluating evaluators” workstreams. Previously he was a Senior Researcher at Founders Pledge and earlier supported Dutch municipalities in running experiments with elements of a universal basic income. He co‑founded and serves on the board of Effective Altruism Netherlands and is a founding member of the management committee of the Patient Philanthropy Fund.

Lucius Bushnaq is an AI safety researcher specializing in mechanistic interpretability, currently a researcher at Goodfire AI. He holds a PhD in mathematics from Trinity College Dublin (2020-2023) and an MS in physics from RWTH Aachen. He co-founded Apollo Research, where he led interpretability work including the Local Interaction Basis method and degeneracy-based approaches to mechanistic interpretability. His research trajectory began with work on selection theorems for modularity in neural networks, conducted through AI Safety Camp under the mentorship of John Wentworth, which was supported by Long-Term Future Fund grants. He has published papers on parameter decomposition, LLM modularity, and identifying computationally relevant sparse features in neural networks.

Founder of Frame Fellowship and Explainable (Explainable Media), working on AI safety media infrastructure and field‑building from San Francisco, California.

Oliver Klingefjord is a researcher at the Meaning Alignment Institute, which he co-founded in 2023 with early support from OpenAI. His work focuses on aligning AI and institutions with what people actually value—a problem the team calls full-stack alignment—and he previously worked on AI-assisted democracy at the AI Objectives Institute and co-founded the startup Potential.

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Evan Knight is the founder of Thoughtful Content and serves as an advisor to Good Impressions, drawing on entrepreneurial and operational experience from co-founding and serving as COO of the marketing analytics firm RightMetric and advising companies such as Casting Workbook and Kinzoo Technologies. He has a background in digital marketing, e-commerce, and operations and holds a commerce degree from the University of Calgary.

Associate Professor in Computer Science at the University of Birmingham, where he leads the AI Verification Group, and head of Zeroth Research; his work bridges formal methods and AI to develop verification techniques for the safety assurance of software, cyber-physical, and deep learning systems.

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AI policy researcher and AI risk analyst at ORCG, specializing in international security and technology governance, with prior research roles at OpenAI and Georgetown’s Center for Security and Emerging Technology.

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Associate Professor of Computer Science and Systems & Information Engineering at the University of Virginia and member of the Link Lab whose research focuses on runtime safety and trust for embodied AI systems, developing architectural and algorithmic foundations for safe, adaptive human–AI collaboration in domains such as autonomous driving, robotics, healthcare and smart infrastructure.

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