Database

Two workshops on strategic communications around AI safety, focused on the AI safety community

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Associate Professor of Statistics and EECS at UC Berkeley, affiliated with BAIR and CLIMB, and Founder & CEO of the nonprofit research lab Transluce; his research focuses on ensuring that machine-learning systems are understood by and aligned with humans.

6-month salary to produce 2 AI governance white papers and a series of case studies, with additional research costs

Robert F. Trager is Co-Director of the Oxford Martin AI Governance Initiative, International Governance Lead at the Centre for the Governance of AI, and Senior Research Fellow at the Blavatnik School of Government at the University of Oxford. He is a recognised expert in the international governance of emerging technologies, diplomatic practice, institutional design and technology regulation, and has authored books and numerous articles in leading social science journals.

This grant will support Viktor Rehnberg's project identifying key steps in reducing risks from learned optimisation and working towards solutions that seem the most important. Viktor will start working on this project as part of the SERI MATS program.

Spencer Case is a Research Fellow at Sentience Institute with a PhD in philosophy from the University of Colorado Boulder and experience as an international research fellow at Wuhan University. His work focuses on debates about moral realism and other topics in moral and political philosophy, he is coauthor of the book Is Morality Real? A Debate and is working on a second book, Why Its OK to Be Patriotic, in addition to publishing essays in outlets such as National Review and Quillette and hosting the Micro-Digressions philosophy podcast.

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Noam Kolt is an Assistant Professor at the Hebrew University of Jerusalem’s Faculty of Law and School of Computer Science and Engineering, where he leads the Governance of AI Lab (GOAL). His research focuses on the governance of AI, automation in the legal system, and institutional design for advanced AI, including the governance of autonomous agents and empirical evaluations of legal alignment. Kolt completed his doctorate at the University of Toronto, where he served as a research advisor to Google DeepMind and was a member of OpenAI’s GPT-4 red team, and he now holds affiliate roles with institutes such as the Schwartz Reisman Institute for Technology and Society and the Institute for Law & AI.

Satvik Golechha is a Research Scientist at the AI Security Institute (AISI), a directorate of the UK Department for Science, Innovation and Technology, where he works on frontier alignment, mechanistic interpretability, and reinforcement learning. He completed a B.E. in Computer Science from BITS Pilani, India, and previously worked as a researcher at Microsoft Research and as an Associate Research Scientist at Wadhwani AI on applied machine learning for healthcare. He participated in the MATS Summer 2024 program under mentor Nandi Schoots, working on neural network modularity in the interpretability stream, and also conducted independent research at the Center for Human-Compatible AI (CHAI) at UC Berkeley. His published work includes "Challenges in Mechanistically Interpreting Model Representations" (arXiv 2024), "Training Neural Networks for Modularity aids Interpretability" (arXiv 2024), and "Intricacies of Feature Geometry in Large Language Models" (ICLR 2025), as well as collaborative research with Anthropic on auditing language models for hidden objectives. He received a Long-Term Future Fund grant to work on safe and robust reasoning via mechanistic interpretation of model representations.

Research on the links between short- and long-term AI policy while skilling up in technical ML

Seeking funding to secure API infrastructure and permanently eliminate the rate limits bottlenecking open-source EA grant evaluation.

Dr. Rand Waltzman is an adjunct senior information scientist at the RAND Corporation whose work focuses on artificial intelligence and cognitive security in the information environment. He has decades of experience managing AI research applied to domains such as social media and influence operations, and previously served as acting chief technology officer at Carnegie Mellon University’s Software Engineering Institute and as a program manager at DARPA responsible for the Social Media in Strategic Communications program.

Liz Specht is an Emerging Technology Fellow with Horizon’s Executive Branch track, currently placed at the Defense Advanced Research Projects Agency. She previously served as an Executive Branch fellow at the Emerging Technologies Institute and as Senior Vice President of Science and Technology at the Good Food Institute. She holds a B.S. in chemical and biomolecular engineering from Johns Hopkins University and a Ph.D. in biological sciences from the University of California San Diego.

Brian Tan is a co-founder and Operations Director of WhiteBox Research, an AI safety nonprofit based in Manila, Philippines, that trains early-career researchers in mechanistic interpretability. He co-founded WhiteBox in August 2023 alongside Clark Urzo and Kriz Tahimic, and leads the organization's operations, marketing, and project management. He also serves as an Operations Associate at Arcadia Impact, a UK nonprofit focused on AI safety and governance. Brian co-founded Effective Altruism Philippines in 2018 and worked full-time to grow the chapter in 2021, before supporting EA communities globally as a Group Support Contractor at the Centre for Effective Altruism from 2022 to 2023. He holds a degree in IT Entrepreneurship from Ateneo de Manila University, where he graduated as a Merit Scholar in 2019. WhiteBox Research's flagship AI Interpretability Fellowship runs for five months in person in Manila, with the goal of building AI safety research capacity in Southeast Asia.

Patrick Leblond is a CIGI senior fellow and CN–Paul M. Tellier Chair in Business and Public Policy at the University of Ottawa, specializing in international economic governance, including trade, financial and monetary integration, banking regulation and regional economic agreements.

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Federico Speziali is co-founder of High Impact Professionals and works as a monitoring and evaluation manager at Ambitious Impact. His work focuses on effective giving, incubation programmes, and helping professionals and donors channel resources to high-impact charities.

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Funding for 3 months independent study to gain a deeper understanding of the alignment problem, publishing key learnings and progress towards finding new insights.

Sarah is a product lead and full‑stack software engineer at Giving What We Can, supporting product development and maintaining the organisation’s technical infrastructure.

Roman V. Yampolskiy is a computer scientist and AI safety pioneer who serves as a tenured Associate Professor at the University of Louisville and as founder and director of its CyberSecurity Lab. He coined the term AI safety in a 2011 publication and is recognized as a founding researcher in the field, known for work on AI containment, AI safety engineering, and the theoretical limits of AI controllability. His research has been cited by over 10,000 scientists, featured in more than 1,000 media reports across 30 languages, and he has authored over 200 publications on artificial intelligence, cybersecurity, and behavioral biometrics.

Research Scholar at ILINA focusing on legal approaches to accountability and evaluation in the safe development and deployment of highly capable AI, and a Researcher at the University of Cape Town African Hub on AI Safety, Peace and Security; she is also a Legal Fellow at the AI Whistleblower Initiative and holds a first‑class undergraduate law degree from Strathmore University.

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these funds are for the development and possible physical embodiment of my architecture.

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Laurens Prins serves on LASST’s board of directors. He is a Dutch legal professional who has worked in private practice at international law firms, in-house at a major energy company, and as a judge in the Netherlands.

1.5 year stipend for thorough investigation and analysis of AI lab scaling policies

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Current LLM safety methods—treat harmful knowledge as removable chunks. This is controlling a model and it does not work.

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Ella McIntosh is the Managing Director at the Effective Institutions Project, working closely with the CEO on strategic initiatives and external relations while ensuring the organization’s systems run effectively. She was one of EIP’s first employees and holds an MSc in International Social and Public Policy from the London School of Economics.

Co-founder and former President of Foresight Institute; futurist who writes and lectures on nanotechnology, artificial intelligence, and life extension; co-author of Unbounding the Future and Leaping the Abyss and coiner of the term "open source software".

7 months of coworking-space funding continuation, during interpretability research project

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I am the COO & Director of Development for the AI Policy Network (AIPN). I lead our operations and political fundraising. Previously, I co-founded Growth Accelerators, a tech go-to-market consultancy, and before that founded, led, and sold a software company. I have over 20 years experience across 01Click, SAP, i2, and McKinsey.

Support to cover the costs of leaving employment in order to pursue AI safety research.

Executive Director of the Transformative Futures Institute and Assistant Professor of Business Analytics at Wichita State University, whose research applies forecasting and foresight methods to technological progress, transformative AI, and existential risk.

Harold Figueroa is co-founder of the Berryville Institute of Machine Learning and director of the Machine Intelligence Research and Applications (MIRA) Lab at an intelligence community contractor, where he leads efforts to integrate advances in machine learning, AI, language sciences, and network science into operational products. His background includes applied mathematics research and work at the Cornell Lab of Ornithology developing widely used acoustic environmental monitoring tools.

Luke Freeman is the COO of Good Ancestors, working on policy responses to AI safety, pandemic risks, and catastrophic disasters. Previously he served as CEO of Giving What We Can, led and founded technology and charitable organisations including the edtech company FLUX and the research recruitment platform Positly, and has more than a decade of experience in tech, marketing, and effective giving.

Phil Lunn is the founder and CEO of Plator Consulting (Plator AI), where he helps organizations adopt AI and data‑driven decision‑making. With nearly four decades of experience across product management, marketing, sales, and management consulting, he focuses on using AI to drive growth and to help businesses and professionals adapt to technological change.

Association pour la Recherche Scientifique (ARS)

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