Toby Webster is a program director at Sentinel Bio, leading work on risks at the intersection of AI and engineering biology. Previously, Webster studied biological AI model security at RAND Europe.
David Demitri Africa is a research scientist at Resolution, where he works on understanding the character and motivations of AI systems in ways that scale to superintelligence.
Alfie is the founder and research lead at Formation Research, a startup research organisation focusing on lock-in and power concentration risks from AI systems. He works on AI-enabled totalitarianism, coups, and extreme power concentration. He claims that AI systems can make future versions of these phenomena much more stable, long-term, harmful, and widespread, and is focusing on developing and implementing governance-informed interventions for these problems leveraging technical methods of verification and cooperation.
Jan worked as a software developer for over a decade before shifting to AI safety in 2023. He is an ARENA and Astra Fellowship alumni, interested in anything related to out-of-context reasoning in LLMs.
Caspar Oesterheld is a researcher at Redwood Research where he works on improving models' conceptual reasoning capabilities, i.e., their reasoning about questions where we cannot verify the answer and the best way to make progress is through argumentation. Much of this work has been done in collaboration with Anthropic.
Previously, he completed his computer science PhD at Carnegie Mellon University where he was assistant director of the Foundations of Cooperative AI Lab. Caspar has published about multi-agent AI interactions, decision theory in Newcomb-like decision problems, and, informally, about how models reason about conceptual questions. He has served as a research mentor for MATS, PIBBSS, CLR and astra (incoming).
Neil Chowdhury is a member of technical staff at Transluce, a research lab building tools for understanding AI systems. Chowdhury previously worked on safety at OpenAI.
McKenna Fitzgerald leads external affairs at Americans for Responsible Innovation (ARI), an AI policy and advocacy organization based in Washington, D.C. She was previously a Research Manager at MATS where she helped initiate the technical governance stream. Prior to MATS, she was Deputy Director of the Global Catastrophic Risk Institute. She is a Board Member of Magnify Mentoring and an Advisory Board Member of PRISM Research. She holds a B.A. in philosophy from UC, Berkeley.
I'm an AI safety grantmaker at Longview Philanthropy and a part-time DPhil student in AI at Oxford. Previously I did research on machine learning and AI policy at Epoch, GovAI, and the Center for AI Safety. Before that, I worked on data science at a fintech startup.
I have founded three successful businesses and sold two, and now I've turned to investing in AI Safety.
Over the years I've learned a lot about what it takes to actually manage and run an organization, focus on what matters and scale the things that are important.
Alex Kleinman is a co-founder of Active Site. Previously, Kleinman worked on broad-spectrum vaccines at Alvea.
MATS 项目是一项为期 10 周的研究奖学金计划,旨在培养和支持从事人工智能对齐、透明度和安全领域工作的新兴研究人员。研究员将与世界一流的导师合作,获得专门的研究管理支持,并加入位于伯克利、致力于推动人工智能安全与可靠发展的活跃社区。该项目提供开展高影响力研究并开启人工智能安全领域长期职业生涯所需的架构、资源和指导。
MATS 导师均为来自人工智能安全、对齐、治理、领域建设及安全等广泛领域的顶尖研究人员。他们包括学术界人士、行业研究员以及独立专家,负责指导学者开展研究项目、提供反馈,并助力每位学者的研究成长。导师们的专业领域涵盖:
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关键日期
申请:
主项目将于 9 月 28 日至 12 月 4 日进行,获选研究员的延展阶段将于 12 月开始。
MATS 欢迎来自不同学术和专业背景的申请者——从机器学习、数学和计算机科学,到政策、经济学、物理学、认知科学、生物学和公共卫生,同时也欢迎没有传统研究背景的创业者、运营人员和领域建设者。主要要求是具备为人工智能安全做出贡献的强烈动机,并展现出技术能力、研究潜力或相关的运营经验。具备人工智能安全相关经验会有所帮助,但并非必要条件。