Database

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Acting Director at AI Impacts, research engineer at Palisade

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2 month funding to get into mechanistic interpretability and to do 2-3 projects, than learn briefly related fields

2-6 months' stipend to financially cover my self-development in Machine Learning for alignment work

Vass Bednar is a CIGI senior fellow and managing director of the Canadian Shield Institute whose work sits at the intersection of technology and public policy; she previously led McMaster University’s MPP in Digital Society program and writes the "regs to riches" policy newsletter.

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A Washington, DC-based 501(c)(3) nonprofit that conducts AI policy research, develops actionable legislative proposals, and educates U.S. policymakers on responsible innovation. It is the research and education arm of the Americans for Responsible Innovation family of organizations.

Alex is a Community Engagement Coordinator at Giving What We Can, growing the community of pledgers through high‑touch personal outreach and one‑on‑one relationships and helping people explore what meaningful impact looks like for them. Before joining GWWC, he spent a year focused on personal development through travel, entrepreneurship and volunteer work, launched his own business, and gained experience at Natixis Investment Managers during his placement year. He holds a First Class Honours degree in International Relations from Loughborough University.

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Dr. Jan Kinne is a researcher in the Economics of Innovation and Industrial Dynamics unit at ZEW – Leibniz Centre for European Economic Research in Mannheim and co-founder and CEO of ISTARI.AI, where he develops AI-based web-mining methods for firm- and innovation-level analysis. He studied geoinformatics at Heidelberg University and Loughborough University and earned a doctorate (Dr. rer. nat.) from the University of Salzburg on web-based innovation indicators.

Supporting aspiring researchers of AI alignment to boost themselves into productivity

Independent Researcher

Jack Wildman is a senior software engineer at FutureSearch. He holds a PhD in Materials Physics from Heriot-Watt University and previously worked as a senior software engineer at Metaculus and as a development team lead at Ito World.

Reporting and analysis on capitalism, great power competition, and the race to build machine superintelligence by freelance journalist Garrison Lovely.

Arjun Panickssery is an AI safety researcher and entrepreneur based in the San Francisco Bay Area. He studied at the University of Illinois at Urbana-Champaign and has been active in AI alignment research through multiple programs and institutions. He participated in MATS (Machine Learning Alignment Theory Scholars), including an extension phase in London, where his research on the safety implications of LLM self-recognition produced the widely-cited paper "LLM Evaluators Recognize and Favor Their Own Generations" (co-authored with Samuel R. Bowman and Shi Feng), which demonstrated that frontier models such as GPT-4 can recognize their own outputs and exhibit self-preference bias that could undermine safety techniques like reward modeling and constitutional AI. He subsequently worked on scalable oversight benchmarks as part of MATS Summer 2024 and previously held roles at METR Evals and an AI risks organization. He is also building Zembla, an AI-powered platform for accelerated, individualized learning, and writes frequently about AI tutoring and education research.

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Let's warn millions of people about the near-term AI extinction threat by directly & proactively explaining the issue in every context where it belongs

Anand Srinivasan is a mathematician and researcher currently pursuing a PhD at the University of Cambridge in the Department of Applied Mathematics and Theoretical Physics (DAMTP), where he works in the Biological Physics and Mechanics group on active matter and distributed control systems. He holds a BS in Mathematics from MIT, where he worked on Ising models for image classification and fuzzy manifold learning (independently published at NeurIPS). He co-founded AlphaSheets, a cloud-based spreadsheet startup, and served as CTO managing a six-person engineering team from 2015 to 2019. Upon leaving the company, he redirected his focus toward AI safety research, receiving a $30,000 grant from the Long-Term Future Fund in 2019 for independent deconfusion work titled "Formalizing perceptual complexity with application to safe intelligence amplification," which aimed to develop a framework enabling provable claims about what AI systems can and cannot internally represent based on their architectures and training processes. He has since published research on contracting dynamical systems in Banach spaces with MIT's Jean-Jacques Slotine, and has worked as a senior research software engineer at Harvard University Research Computing.

Emerson Spartz is the co-founder of Nonlinear and a serial media entrepreneur. Before his EA work he founded the viral media company Dose, after earlier creating more than twenty large viral content sites that attracted tens of millions of monthly visitors, and at age twelve he founded MuggleNet, a leading Harry Potter fan site. His work in digital media led to recognition on Forbes and Inc. "30 Under 30" lists.

Jerome C. Glenn is co-founder and Executive Director/CEO of The Millennium Project, a leading global futures research think tank established in 1996. He has over 50 years of experience in futures research, is lead author of the State of the Future report series, chairs the High-Level Expert AGI Panel for the UN Council of Presidents of the General Assembly, and previously served as executive director of the American Council for the United Nations University.

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Software and AI safety researcher working on AI security via formal methods; Researcher at the Beneficial AI Foundation and author of the Substack newsletter 'Can We Secure AI With Formal Methods?'.

Rational Animations is a YouTube channel producing high-quality animated videos about AI safety, rationality, and effective altruism to reach mainstream audiences.

Joshua Clymer is a technical AI safety researcher at Redwood Research, where he specializes in safety evaluation methodologies for advanced AI agents. Prior to Redwood Research, he researched AI threat models and developed evaluations for self-improvement capabilities at METR. He received a $1,500 Long-Term Future Fund grant for compute resources to develop an instruction-following generalization benchmark, which resulted in the GENIES (GENeralization analogIES) benchmark and a paper demonstrating that reward models do not learn to evaluate instruction-following by default and instead favor personas resembling internet text. He is also known for the Poser paper, which introduced a benchmark for detecting alignment-faking LLMs by manipulating model internals, achieving a 98% detection rate. Clymer co-authored a widely cited safety cases report and has contributed to work on AI control, scheming evaluations, and international agreement verification. He founded Dioptra, a volunteer research group building evals for AI safety, and was among the early signatories of the CAIS Statement on AI Risk. He is affiliated with the Cambridge Boston Alignment Initiative as a mentor.

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Seeking short term grant to finance career transition

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John Sherman is a Peabody and multi-Emmy Award–winning former investigative journalist based in Baltimore, founder of the nonprofit GuardRailNow and President of The AI Risk Network. He previously founded and led the video agency Storyfarm and serves as Director of Public Engagement at the Center for AI Safety, where he leads efforts to bring AI extinction risk into mainstream public consciousness through the For Humanity podcast, The AI Risk Network media properties, and related public-facing campaigns.

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An independent research institute producing policy analysis on the social implications of artificial intelligence, with a focus on corporate power, labor, and public accountability.

Tobias Eugene Alcock Newberry is a New Zealander based in England who serves as a director of Macrostrategy Research Initiative Limited, with his registered occupation listed as Chief of Staff.

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Co-lead and research analyst at AI Standards Lab and Research Affiliate at the Oxford Martin AI Governance Initiative, working on threat models and risk pathways for advanced AI systems and on evaluating and improving AI safety standards; previously a reservoir engineer with over a decade of industry experience in the oil and gas sector.

Hi I'm Anthony, I currently focused on AI safety and governance as a progression of my work with startups and small businesses over the past 15 years.

Jen Ellis is a cybersecurity policy expert and founder of NextJenSecurity who serves as a Ransomware Task Force working group co‑chair with the Institute for Security and Technology, working to reduce cyber risk for digital citizens by fostering collaboration among security experts, technology providers, civil society, and governments.

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Bookkeeper for the Berkeley Existential Risk Initiative and Managing Director of Oak Books Limited. She provides bookkeeping services to a range of clients, with a particular focus on nonprofit organizations, and first began working with BERI in 2019.

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Summer Research Fellow in U.S. law and policy at LawAI whose work focuses on AI governance and how emerging legal technologies can support civic engagement, civil rights, and equitable access to justice. Previously worked on policy and strategic planning at the U.S. Department of Commerce under Secretary Gina Raimondo, served in the Biden–Harris White House, and held roles at the ACLU’s Justice Division, the Center for American Progress, and the National Women’s Law Center. She holds an A.B. from Princeton University’s School of Public and International Affairs and is pursuing a J.D. at Harvard Law School.

Sandra Joyce is a cybersecurity leader with over 25 years of intelligence experience who heads Google Threat Intelligence at Google Cloud and serves on the Ransomware Task Force Steering Committee convened by the Institute for Security and Technology, alongside other roles on national security and cyber policy advisory bodies.

Ergo Impact finds, funds, and scales promising people and solutions to the world's most pressing problems by providing ambitious philanthropists a rigorous, high-leverage approach to deploying capital at scale.

Researcher at AI Standards Lab focusing on security, privacy, governance, and deep learning, and co-author of work on risk sources and risk management measures for general-purpose AI systems as well as other AI safety and evaluation research.

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Griff Bohm is a co‑founder and General Partner at Juniper Ventures, bringing a background in behavioral psychology and growth leadership at AI-powered fundraising startup Momentum, where he has served in senior roles such as CRO and COO.

Boston University is a large private research university in Boston, Massachusetts with over 37,000 students, 17 schools and colleges, and more than $554 million in annual research expenditures. It hosts AI safety and alignment student programs and has received Open Philanthropy funding for AI safety-relevant research.

A research group at MIT CSAIL developing algorithmic frameworks, techniques, and policies to make AI systems safe and socially beneficial. Led by Associate Professor Dylan Hadfield-Menell.