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Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.

One Month to Study, Explain, and Try to Solve Superintelligence Alignment

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Executive Director of Mozilla Foundation, where she leads strategic initiatives across programs, products, and grantmaking to build a better digital future, and former CEO of investigative journalism nonprofit The Markup; widely recognized for her work on digital civil rights and technology law.

Lewis Bollard is Managing Director for Farm Animal Welfare at Coefficient Giving, where he leads the Farm Animal Welfare Fund. He joined the organization in 2015 as its first full-time staff member focused on farm animal welfare, writes the Coefficient Giving farm animal welfare Substack, and has recently appeared on the TED main stage and the Dwarkesh Podcast. Previously he worked at Bain & Company and Humane World for Animals, and he is a graduate of Harvard University and Yale Law School.

President of Mozilla Foundation and longtime open internet activist focused on trustworthy AI, digital privacy, and the open web; previously led organizations such as the Commons Group and telecentre.org and now helps steer Mozilla’s investments in responsible tech startups and foundational open-source AI.

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Michael Aird is the AI Program Director at Longview Philanthropy, where he leads the organisation’s AI grantmaking. He previously served as an associate director at the RAND Center on AI, Security, and Technology, helped grow its predecessor to over 100 staff, and has been an affiliate at the Centre for the Governance of AI, an advisor and co-founder of the Institute for AI Policy and Strategy, a board member of the MATS Program, and a Research Scholar at the University of Oxford’s Future of Humanity Institute.

Founder and Vice President of Mozilla Data Collective, previously director of Mozilla’s Common Voice project, where they helped build the world’s largest open crowdsourced speech corpus spanning hundreds of languages and hundreds of thousands of contributors.

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Michel Justen is the AI Grants Lead at the Tarbell Center for AI Journalism, an organization funded by Coefficient Giving (formerly Open Philanthropy), where he manages the center's reporting grants program. Previously, he was a 2024 Research Fellow at Pivotal Research, where he studied international AI governance and benefit-sharing — specifically how the US government might share financial or access benefits from advanced AI to unlock international safety agreements, mentored by Matthew van der Merwe and Max Dalton. Before that, he worked as an Events Associate at the Centre for Effective Altruism, running events including the Summit on Existential Security and the New Orleans Alignment Workshop, and co-founded and scaled the EA Opportunity Board. He also founded the EA student group at the University of Wisconsin–Madison, where he studied Neurobiology and Psychology. He received a Long-Term Future Fund grant to produce an animated video essay explaining how AI could accelerate AI R&D and the implications for AI governance. He writes on AI governance topics through his Substack newsletters 'What is this' and 'With (some) respect to AI.'

Jesse Clifton is Grants Director at Macroscopic Ventures, where he leads the organization’s grantmaking after previously working on research and strategy at the Center on Long-Term Risk.

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A regularly-updated guide on how to donate most effectively to the AI safety field, structured by donation amount and time available.

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AI safety researcher. PhD in Mathematics from UC Berkeley. Co-founded BERI and established SFF. Co-developer of the S-process algorithm.

Open Philanthropy (now Coefficient Giving) identifies outstanding giving opportunities, makes grants, follows the results, and publishes findings.

Tyler John is the Program Director for Artificial Intelligence at the Effective Institutions Project, leading the organization’s AI initiatives. A seasoned grantmaker and researcher, he has advised philanthropists on more than $60 million in grants across AI safety, biosecurity, and peace and security, helped establish an international body at the OECD to consider transformative impacts of advanced AI, founded the first research institute focused on AI welfare at NYU, and holds a PhD in political philosophy from Rutgers University with fellowships at the NIH, the University of Oxford, and a visiting scholar role at the University of Cambridge’s Leverhulme Centre for the Future of Intelligence.

Anthony Aguirre is a theoretical cosmologist and physicist who holds the Faggin Presidential Chair for the Physics of Information at the University of California, Santa Cruz, where he has been a faculty member since 2003. He earned his PhD in Astronomy from Harvard University in 2000 and was subsequently a member at the Institute for Advanced Study in Princeton before joining UCSC. His research spans cosmological inflation, eternal inflation, early universe physics, quantum mechanics foundations, and the physics of information. He is a co-founder and President and CEO of the Future of Life Institute (FLI), an organization focused on steering transformative technologies—especially AI—toward beneficial outcomes and away from existential risks, which he co-founded in 2014 with Max Tegmark and Jaan Tallinn. He also co-founded the Foundational Questions Institute (FQXi), which supports research on foundational questions in physics and cosmology, and co-founded the prediction aggregation platform Metaculus in 2015. He is the author of the popular science book Cosmological Koans (W.W. Norton, 2019).

The self-study section of AISafety.com curates courses, textbooks, and reading lists for independent learning in AI safety, covering both technical alignment and AI governance.

Co-founder and Director at Impact Academy with multiple board positions in the non-profit sector, co-founder of the migration-focused non-profit Nema Problema, prior experience as a consultant, and studies in law, developmental economics, and sustainability at Uppsala University, Yale University, and Cornell University.

Helen Toner is an Australian researcher and AI policy expert focused on artificial intelligence, national security, and US–China relations. She serves as the interim executive director at Georgetown University’s Center for Security and Emerging Technology (CSET), which she helped found in 2019, and previously worked as a senior research analyst at Open Philanthropy. Toner sat on the board of OpenAI from 2021 to 2023 and has been recognized as one of TIME’s 100 most influential people in AI.

A curated directory of AI safety podcasts, newsletters, YouTube channels, blogs, books, and forums maintained by AISafety.com. It helps newcomers and practitioners stay informed about rapid developments in the AI safety field.

David Coman-Hidy is President of The Navigation Fund, where he directs the fund’s charitable grantmaking. He brings more than a decade of experience in nonprofit advocacy, leadership, and philanthropy, including growing a major farm animal advocacy organization from a small grassroots group into an international force that improved the lives of tens of millions of animals. He holds a BS in Political Communication from Emerson College.

A directory within AISafety.com that consolidates free guidance calls from AI safety advisors, helping newcomers identify how to contribute most effectively to the field.

Senior Researcher at Rethink Priorities working on existential security, previously involved in time-sensitive COVID-19 forecasting projects and earlier employed as a programmer at Impossible Foods and Google, as well as leading several effective altruism local groups.

Zach Freitas-Groff is an AI Program Officer at Longview Philanthropy, where he conducts grant investigations focused on artificial intelligence, digital sentience, and EU AI governance. He holds a PhD in economics from Stanford University (2018 cohort), where his research spanned public economics, political economy, and behavioral and experimental economics, advised by B. Douglas Bernheim, Matthew Gentzkow, Caroline Hoxby, and Ran Abramitzky. His dissertation work produced a systematic empirical investigation of policy persistence, tracking over 800 policies subject to close U.S. state referendums since 1900 and finding that passing a referendum increases the probability a policy remains operative 20 to 100 years later by over 40 percentage points. He is also a Research Affiliate at the Population Wellbeing Initiative at the University of Texas at Austin, and has previously worked as a Research Analyst at Innovations for Poverty Action and as a researcher at the Global Poverty Research Lab at Northwestern University. His research has been covered by The New York Times, Reuters, Marginal Revolution, and Vox. He received an early LTFF grant to fund research assistance gathering data on the persistence, expansion, and reversal of laws over five-plus decades, work that later formed part of his dissertation.

Chair of the Long-Term Future Fund and a Program Associate at Open Philanthropy, with prior experience as a researcher at AI Impacts and as a trader and software engineer at a crypto hedge fund; she has been a research fellow at the Centre for the Governance of AI at the Future of Humanity Institute and holds a BA in Computer Science and Engineering from MIT.

Project Lead of Effective Altruism Funds, with previous experience in global priorities research as a research assistant at the Global Priorities Institute (GPI), in effective altruism community building as a contractor to CEA’s community health team, and in global health policy.

Joey Savoie is a leading figure in the effective altruism movement who co-founded and leads Ambitious Impact (formerly Charity Entrepreneurship), incubating new high-impact nonprofits in areas such as global health, animal welfare, and philanthropy-focused interventions.

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JueYan Zhang is a philanthropic advisor and grantmaker who manages the AI Safety Tactical Opportunities Fund (AISTOF), a pooled multi-donor fund focused on reducing the probability and severity of catastrophic risks from advanced AI. He serves on the boards of Family Empowerment Media and Suvita, advises additional philanthropic initiatives, previously spent about a decade earning-to-give as a hedge fund manager, and holds degrees in business administration and statistics from UC Berkeley.

The Long-Term Future Fund aims to positively influence the long-term trajectory of civilization by making grants that address global catastrophic risks.

Jamie Harris is a fund manager at the Effective Altruism Infrastructure Fund (EAIF) and Courses Project Lead at the Centre for Effective Altruism, where he runs online programmes that help people explore how they can have the most positive impact.

Jaeson Booker is an independent AI alignment researcher and the founder and fund manager of the AI Safety Research Fund, a nonprofit initiative dedicated to AI safety grantmaking. He has a background as a software engineer, startup founder, and senior cybersecurity analyst auditing blockchain contracts. He completed the AGI Safety Fundamentals courses (both Technical and Governance tracks), participated in SERI MATS under the Agent Foundations stream, and took part in AI Safety Camp (Group 22), where his team studied the promisingness of automating alignment research. He served as a senior executive at the Center for AI Responsibility and Education, where he developed curriculum for an introductory course in AI risk and alignment, and was a resident at CEEALAR (Centre for Enabling EA Learning and Research) where he worked on AI safety strategy and research projects. He runs the AI Safety Papers Substack (formerly the Alignment Research Newsletter), covering the latest work in alignment, interpretability, and AI safety. His research interests center on collective intelligence systems for alignment, mechanism design for AI safety, and multi-agent alignment.

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PhD student in AI safety with David Krueger at the University of Cambridge and Program Associate at the AI Risk Mitigation Fund; his research focuses on AI safety topics such as alignment failures, forecasting AI capabilities, and scalable oversight.

Director of Global Grants at Mozilla Foundation, leading its global grantmaking and having designed and run multiple grant initiatives since joining in 2014; previously worked on K–12 educator support at organizations including a Public Education Foundation, the University of Tennessee, and Toshiba America Foundation.

Will Aldred is a Grants Associate at Macroscopic Ventures, a Swiss nonprofit focused on reducing catastrophic and suffering risks, where he works on grant evaluations and grantmaking strategy. He has a background in technological forecasting, having previously served as a Research Analyst in AI Forecasting at Metaculus, where he contributed to the AI Pathways Report and forecasting research on AI risk and policy. Earlier in his career, he was a Nuclear Risk Programme Coordinator at the Cambridge Existential Risks Initiative (CERI), where he managed the nuclear risk stream of the 2022 Summer Research Fellowship and produced research overviews on nuclear existential risk. He also served as Director of Research at Effective Altruism Cambridge and as a Research Manager at the Stanford Existential Risks Initiative. Aldred received a Long-Term Future Fund grant to support six months of independent research into risks from nuclear weapons and upskilling in AI strategy. He is an active contributor to the EA Forum with over 5,000 karma and has written on topics including nuclear risk, AI timelines, and existential risk research priorities.

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Mikhail "Misha" Yagudin is a researcher and forecaster best known as co-founder of Arb Research, an EA-aligned research consultancy, and Samotsvety Forecasting, a superforecasting group that has won top rankings on platforms such as INFER. He studied machine learning at the Yandex School of Data Analysis in Russia, participated extensively in math olympiads, and did early EA community building in Russia including distributing copies of Harry Potter and the Methods of Rationality to math olympiad winners to recruit talented students to the rationality and AI safety communities. He previously worked with the Future of Humanity Institute at Oxford and has been a contractor or collaborator for the Quantified Uncertainty Research Institute. At Arb, he has worked on forecasting, AI risk assessments, talent identification, and has served as a grantmaker directing approximately $1 million to individual researchers. He is also a founding advisor at SAGE Future.

Alexander Berger is co-founder and CEO of Coefficient Giving, where he sets the organization's strategic direction, oversees grantmaking, and leads its work with external donors.

Ruairí Donnelly is President of Macroscopic Ventures, a philanthropic grantmaking organization focused on safeguarding the long-term future, and he also works on special projects at Survival and Flourishing Corp and serves on the board of the Center for AI Safety.

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Ben Stewart is an AI Program Officer at Longview Philanthropy, based in London, UK, where he conducts grant investigations focused on artificial intelligence. He holds an MD and undergraduate degrees in philosophy, neuroscience, and international relations, all from the University of Sydney. Prior to Longview, he was a Research Fellow on Open Philanthropy's Global Catastrophic Risks Cause Prioritization team and a Charity Entrepreneurship incubatee. He has conducted freelance research for the Future of Humanity Institute, Stanford Existential Risk Initiative, Lead Exposure Elimination Project, and Open Philanthropy, and won the inaugural Open Philanthropy Cause Exploration Prize for research on organophosphate pesticides and developmental neurotoxicity. He received Long-Term Future Fund grants to upskill in biosecurity research and prioritisation, including completing Imperial College London's Infectious Disease Modelling specialisation, and to develop data science and forecasting skills for GCBR research. He is active on the EA Forum under the username BenStewart, where he has written on biosecurity topics including sequence obfuscation and infectious disease modelling.

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Trevor Levin is a co-founder and board member of the Cambridge Boston Alignment Initiative. He works as a Program Officer for AI Governance & Policy at Coefficient Giving, where he focuses on U.S. AI policy grantmaking and strategy, and previously directed governance programs at Harvard AI Safety Team.

Researcher at METR (Model Evaluation and Threat Research) and Program Associate at the AI Risk Mitigation Fund; previously worked on mechanistic interpretability and adversarial training at Redwood Research and is a PhD student in AI at UC Berkeley’s Center for Human-Compatible AI.