Ari Klein
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AI governance research
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Media and communications professional focused on existential risk, who from 2015 to 2022 worked at the Future of Life Institute on conferences, open letters, grant programs and campaigns on AI safety, synthetic biology, and nuclear weapons risk, and who hosted the Future of Life Institute Podcast reaching millions of views on existential risk content.
French Center for AI Safety
Novel safety failure modes discovered across 7 LLM providers with 35,000+ controlled inference trials. Targeting NeurIPS 2026.
$5,000 USD to bring 16 vetted academics and policy leads to NZ's first AI Safety Conference, ensuring national representation and cross-sector collaboration
Open Welfare Alignment Evals for Frontier Models
4-month salary for finding and characterising provably hard cases for mechanistic anomaly detection
AI safety, communications, generalist
Deputy Managing Director at the ETH Zurich Foundation, with a focus on international partnerships and philanthropy to secure support for ETH Zurich.
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General support for Alexander Turner and team research project - Writing new motivations into a policy network by understanding and controlling its internal decision-influences
Building early AI governance and safety systems focused on alignment, oversight and risk reduction before more capable AI arrives.
Independent Interdisciplinary Researcher Focus: Unified Geometric Physics, Systemic Bioenergetics, Computational Safety, Philosophy & Literature
A seasoned leader in AI startups, I'm now building Tech/ish to connect technologists with communities for beneficial AI.
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Partner at Lightspeed Venture Partners focused on developer productivity tools, application infrastructure, and machine learning in the enterprise, where he backs technical founders including Goodfire.
Effective altruist interested in non-human welfare, longtermism, & moral circle expansion
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Chris Dolman is an actuary and data ethics specialist who serves as Executive Manager, Data and Algorithmic Ethics at Insurance Australia Group (IAG) while contributing as a Fellow to the not‑for‑profit Gradient Institute. His work focuses on ensuring modern data‑driven and AI‑enabled decision systems are designed and implemented in an ethical, responsible and thoughtful way, particularly in insurance. In 2022 he was named Actuary of the Year by the Actuaries Institute for his leadership in data ethics, responsible AI and anti‑discrimination guidance.
Executive Director of the AI Objectives Institute, with a background as a researcher, designer, and product strategist focused on how humans interact with technology. She previously co-founded the Median Group, and has held roles including Product Manager and Software Engineer at Google, Chief of Staff at the Center for Humane Technology, and Head of Product at distributed computing startup Kalix Systems.

Daniel Filan is a member of technical staff at METR (Model Evaluation & Threat Research), where he works on assessing loss-of-control risk from frontier AI development. He completed his PhD in AI/EECS at UC Berkeley in 2024, supervised by Stuart Russell, with a thesis titled "Structure and Representation in Neural Networks"; prior to that he completed an honours year at the Australian National University supervised by Marcus Hutter, studying reinforcement learning theory, mathematics, and theoretical physics. From mid-2024 to late 2025 he was a senior research manager at MATS, helping train the next generation of AI alignment and interpretability researchers. He is the creator and host of AXRP (the AI X-risk Research Podcast, pronounced "axe-urp"), launched in December 2020, which features long-form interviews with researchers about their work on reducing catastrophic and existential risks from AI. He also hosts a sister podcast, The Filan Cabinet, covering a broader range of topics.
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A 501(c)(3) nonprofit that funds, accelerates, and advocates for AI alignment research by providing engineering teams, compute, and infrastructure to researchers pursuing neglected approaches.
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Ori Nagel is the producer of the Doom Debates show, having first collaborated behind the scenes during its initial year before officially joining as Producer after being hired away from the media and outreach team at ControlAI, where he significantly grew their social media presence.
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Shlomo Zilberstein is a Professor in the Manning College of Information and Computer Sciences at UMass Amherst whose research in artificial intelligence focuses on the computational foundations of automated reasoning and action under uncertainty and limited computational resources, using probabilistic reasoning and decision-theoretic principles to develop planning algorithms and meta-level control techniques for autonomous agents, often in multi-agent settings.
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A monthly newsletter curating and summarizing the most important AI safety research papers focused on frontier models, written by Johannes Gasteiger of Anthropic's Alignment Science team.
A UK nonprofit applying formal methods and machine learning to build open infrastructure for mathematically guaranteed AI safety assurance.
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Safe Superintelligence Inc. (SSI) is an AI research company founded by Ilya Sutskever focused solely on building safe superintelligence, with no other products or commercial distractions.
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Sanmi Koyejo is an Assistant Professor of Computer Science at Stanford University, where he leads the Stanford Trustworthy AI Research (STAIR) lab, and a co-founder of Virtue AI developing enterprise solutions for AI safety and security.
Patrick is a Finance Associate at Giving What We Can. He previously worked as a Finance Associate at Impact Ops and as a Finance Analyst at the University of Buckingham, and he holds a first‑class degree in Philosophy from Durham University, where he wrote his dissertation on moral uncertainty.
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Exec Assistant @ EA UK
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Request for retroactive funding
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Daniel O'Connell is the CTO and co-founder of Equistamp, a Public Benefit Corporation that provides research operations for AI safety organizations. Equistamp grew out of Rob Miles' AI safety Discord community and was established in late 2023. O'Connell, a UK citizen, has contributed to AI safety evaluation infrastructure for organizations including METR, the UK AI Security Institute, and Redwood Research. He co-authored the HCAST (Human-Calibrated Autonomy Software Tasks) benchmark paper, which provides a set of 189 machine learning engineering, cybersecurity, software engineering, and general reasoning tasks for evaluating AI autonomy. His work focuses on evaluation implementation, task quality assurance, and baselining for frontier AI models.