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A nonprofit R&D lab working to ensure that AI and future economic systems are built and deployed with genuine human objectives at their core, through research, open-source tools, and broad public input.
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Rhizomatic cartographer and technomancer. Hip hop/hyperpop enthusiast. Musician and artist. Engineer @SearchOnDora .
Support for SaferAI’s technical and governance research and education programs to enable responsible and safe AI.
Course facilitator at AI Safety Hungary and master’s student at Eötvös Loránd University in Budapest. Her interests focus on mapping theories of change for long-term AI governance and developing effective policies against extreme technological risks, and she aims to promote responsible AI development and governance for the benefit of society.
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Chief Technology Officer of the UK AI Security Institute and artificial intelligence adviser to Prime Minister Keir Starmer; previously Governance Lead at OpenAI and co‑founder of the Centre for the Governance of AI at the University of Oxford.
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3-month salary for upskilling in PyTorch and AI safety research.
Running an EA and AIS group, connecting participants to high impact orgs
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Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.
A major public research university hosting several prominent AI safety research groups, including work on formal neural network verification, adversarial robustness, and AI agent security benchmarks.
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Charles Dillon is a partner at Arb Research, where he co‑leads the consultancy’s work on empirical and conceptual questions in AI and related sciences. Before joining Arb he spent three years as a senior portfolio manager at Millennium and eight years in electronic ETF trading at Susquehanna, where he also taught weekly poker classes to new hires, and later worked on an education technology startup providing AI‑based exam coaching.
A US-based public charity that collaborates with university research groups working to reduce existential risk by providing them with free operational services and support.
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Generalist at Kairos working to support talent in AI safety, previously director of the Wisconsin AI Safety Initiative, with experience in software engineering and student community building.
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Claire Leibowicz is Director of AI, Trust, and Society and head of the AI and Media Integrity program at Partnership on AI, where she works with global stakeholders to develop responsible AI practices for media and information ecosystems. She is also a DPhil candidate at the Oxford Internet Institute, researching truth and authenticity in the digital age and the impact of AI-enabled manipulation on how people interpret visual information.
6-month career transition and independent research in AI safety and risk mitigation
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AI Security at CERT by day, AI existential risk by night.
Ann-Kathrin Dombrowski is a Member of Technical Staff and Research Engineer at FAR.AI, where she focuses on explainable AI, AI transparency, and mitigating the malicious use of AI models. She holds a PhD from Technische Universität Berlin, where her research examined a geometrical perspective on counterfactual explanations and attribution methods for deep neural networks. She participated in the ML Alignment and Theory Scholars (MATS) program as a scholar under Dan Hendrycks, contributing to research on representation engineering and knowledge removal, and subsequently received LTFF funding to extend that work on internal concept extraction. She also explored information processing in large language models as a PIBBSS affiliate. Her published work includes contributions to the WMDP benchmark for measuring hazardous knowledge in AI models, safety evaluation toolkits for open-source models, and research on the manipulability of neural network explanations.
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Ryan Greenblatt is Chief Scientist at Redwood Research, where he works on technical AI safety and security, including co-authoring research on AI control, alignment faking in large language models, and benchmarks for detecting measurement tampering; he holds a BS in Applied Mathematics and Computer Science from Brown University.
An organizational incubator that launches new nonprofits and projects working to steer transformative technology away from extreme large-scale risks. FLF identifies gaps in the AI safety ecosystem, recruits founders, and provides seed funding and operational support to new ventures.
David Moss is an advisor to Nonlinear and the Principal Research Manager at Rethink Priorities. According to his Nonlinear team bio, he previously worked for Charity Science, has led work on the EA Survey for several years, studied philosophy at Cambridge, and is an academic researcher in moral psychology.
Co‑Director and co‑founder of Kairos, a generalist and builder with a strong interest in entrepreneurship and AI safety, with prior experience in marketing, analytics, talent, and operations roles at large tech companies like Akamai and at startups, as well as in building long‑lasting communities.
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Arthur Nelson is co-director of the Technology and International Affairs Program at the Carnegie Endowment for International Peace, leading a team that examines how emerging technologies such as artificial intelligence and cyber capabilities shape global security, governance, and economic relations.
A European non-profit that investigates influential and opaque algorithms, holding major tech platforms accountable through independent technical audits and free software auditing tools.
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A nonprofit applied research organization building universal reasoning engines grounded in probabilistic programming and causal inference to advance society's ability to solve intractable scientific and societal problems.
Leveraging a 23K Subscriber Channel to Advance AI Safety Discourse
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Co-founder and early leader of the Czech Association for Effective Altruism who, during his M.A. studies at Charles University, helped incubate and grow the organization into a self-sustaining NGO, and later became a public policy researcher at the Faculty of Social Sciences, Charles University in Prague, where he founded and leads the non-profit Czech Priorities (České priority) to promote evidence-based policymaking and foresight in the Czech Republic.
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Lee Mason is a UP Coach at Upgradable whose mission is to help people lead optimally healthy, happy, and meaningful lives. His background includes work as a physical therapist in rehabilitation centers, a university hospital, and a hospice, teaching university courses on well-being and self-development, creating an online course on human flourishing, writing about sustainably achieving important goals, and running self-development workshops for international audiences.
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Behavioral biologist, founder of the AGI Rights Project. Author of Die Magie der Gemeinschaft
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Emily Grundy is a policy officer at Good Ancestors, where she works on practical policy responses to Australia’s biggest AI-related risks. She previously worked on MIT’s AI Risk Repository and has conducted behavioural science research at Monash University, contributing to global efforts to map and analyse risks from artificial intelligence.
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