Database

Dongyeop Kang is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota Twin Cities, where he leads the Minnesota NLP group. His research focuses on building human-centric natural language processing systems by learning from human perception and interaction, developing interactive humanAI systems, and advancing AI as a thinking partner for expert cognitive workflows.

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ARC Evals

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Co-founder of Impact Academy, involved in designing and evaluating the initial Future Academy program and early organisational strategy for the project.

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Equipment to improve productivity while doing AI Safety research

Researcher who aims to explain artificial neural networks by uncovering interpretable symbolic algorithms they implement, using formal models of causality and a theory of causal abstraction to understand the relationship between neural networks and high-level algorithms, with work intended to make models more reliable, safe, and trustworthy.

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Director of Research at the Institute for Law & AI whose work focuses on the law, policy, and governance of advanced artificial intelligence, particularly preventing severe harms to public safety and global security. He previously held policy and legal roles at OpenAI, is a Research Affiliate at the Centre for the Governance of AI, and serves as a vice president of the O’Keefe Family Foundation.

Chinasa T. Okolo, Ph.D., is a fellow in the Center for Technology Innovation within the Governance Studies program at the Brookings Institution. Her research focuses on AI governance in emerging markets, AI literacy upskilling, human-centered approaches to AI explainability, the future of data work, and leveraging AI to advance global health.

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Helping charities drive policy change

How California became ground zero in the global debate over who gets to shape humanity's most powerful technology

Amanda (Rae) She is People Operations Lead at METR, providing operational support to the executive office and broader team on organizational and people operations. She has a background in software engineering and holds a degree in computer science from Georgia Tech.

Prachee Avasthi is Head of Open Science at Astera Institute, where she leads efforts to experiment with new approaches and tools for sharing research and pushing the boundaries of open science. A neuroscientist by training with a PhD in neuroscience, she was previously an Associate Professor of Biochemistry and Cell Biology at Dartmouth’s Geisel School of Medicine, co-founded and serves as Chief Science Officer at Arcadia Science, and has held leadership roles at eLife and ASAPbio advocating for open, collaborative research practices.

Nick Fitz is the Founder & Managing Partner of Juniper Ventures, an early-stage fund focused on AI assurance. He previously founded Momentum, an AI-driven fundraising platform acquired by Virtuous, and worked as a senior behavioral scientist at Duke University’s Center for Advanced Hindsight. He also advises AI safety and infrastructure efforts such as Apart Research and Seldon Lab.

Dillon Bowen is a researcher and engineer working on AI safety, currently a Member of Technical Staff on the Safety Systems team at OpenAI. He holds a PhD in Decision Processes from the Wharton School of Business, where he studied statistics, experiment design, and forecasting under Philip Tetlock, as well as a Graduate Diploma and MPhil in Economics from the University of Cambridge and a BA in Cognitive Science and Philosophy from Tufts University. Prior to OpenAI, he was a Research Scientist at FAR.AI focused on catastrophic risks from frontier models, and before that a principal data scientist at a London-based startup. He also conducted AI safety research through the ML Alignment and Theory Scholars (MATS) program and at UC Berkeley's Center for Human-Compatible AI (CHAI). His AI safety work includes co-developing the StrongREJECT jailbreak evaluation benchmark, research on data poisoning scaling laws, safety gap analysis for open-weight models, and work on decoding-time alignment for large language models. He received a Long-Term Future Fund grant to support his transition into an AI safety career.

Director of Operations at PIBBSS, professor of finance and economics, and trainer and coach in confidence, public speaking, team skills and leadership, with consulting and entrepreneurial experience across Europe and Asia and a long history of involvement in charity and effective altruism.

ICML is the premier annual academic conference for machine learning research, bringing together researchers from academia and industry worldwide. It is organized by the International Machine Learning Society (IMLS), a 501(c)(3) nonprofit.

Digital publishing entrepreneur and investor who built online media businesses such as Environmental Graffiti, Hexagram, Scribol and Pub Ocean (later Content IQ), and now co‑founds Silvestre Nosara, a sustainable beachfront hotel and community space in Nosara, Costa Rica.

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Managing Director (Head) of the ETH Zurich Foundation with a background in civil and environmental engineering and long-standing leadership in university philanthropy.

Head of Business Operations at 80,000 Hours

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Ian Burton is a Research Assistant at the Odyssean Institute and a PhD student at the University of Exeter’s Environmental Intelligence CDT. His research focuses on energy–economy modelling, including power-system transitions, uncertainty quantification in climate-policy modelling and the politics of knowledge production in transitions research. He works with the E3ME-FTT family of energy–economy–environment models, particularly FTT: Power, and is associated with groups such as Exeter Climate Policy and the Centre for Responsible Innovation.

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3-month salary to continue working on AISC project to build a dataset for alignment and a tool to accelerate alignment

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Amalie is the Community Engagement Coordinator at Giving What We Can, where she helps grow the community of pledgers through conference outreach and supports the broader effective giving community in building a culture where giving effectively and significantly is the norm. She has an academic background in nanotechnology and previously worked as a recruitment manager with Ambitious Impact and as a conference organiser.

EquiStamp is a Public Benefit Corporation that provides evaluation implementation, data annotation, red/blue teaming, and operational support so AI safety researchers can focus on research rather than logistics.

I do AI risk research at the Johns Hopkins University Applied Physics Laboratory (APL). I am also doing a PhD on risk and decision analysis under extreme uncertainty, with a particular focus on AI existential risks, at the University of Maryland, Baltimore County (UMBC).

Katrina Sill is Global Health and Development Lead at Founders Pledge, where she researches and evaluates high-impact funding opportunities and manages the GHD Catalytic Impact Fund. Previously, she was Associate Director at Innovations for Poverty Actions Right-Fit Evidence Unit, advising international development funders and implementers on data-driven decision making.

Independent Alignment Researcher based in Toronto

Lionheart Ventures is a seed-stage venture capital firm investing in transformative artificial intelligence and frontier mental health technologies to mitigate civilizational risk.

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A personal Substack newsletter by AI safety researcher Daniel Paleka covering recent AI safety research papers and technical developments.

Program Manager @ Constellation

gambler

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CASCADE × AURA: Architectural AI Alignment Research

Neuroscientist and neurotechnologist building neurotech infrastructure; Research Scientist at Sanmai working on focused ultrasound neuromodulation and Venture Fellow at Kaleida Capital advising early-stage neurotechnology companies.