Database

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Member of Technical Staff on Sage’s Epistemics team, alongside independent work as a machine learning and drug discovery researcher known for the Lo-Hi benchmark and related ML drug discovery tools.

Chris Mathwin is a mechanistic interpretability researcher based in Sydney, Australia. He holds a Master of Engineering in Civil Engineering from the University of Melbourne and transitioned into AI safety research through programs including AI Safety Camp (AISC8, 2023) and the ML Alignment Theory Scholars (MATS) program, where he worked under Lee Sharkey at Apollo Research. His primary research focuses on understanding how representations are distributed across attention heads in transformer models; this work produced the 2024 paper "Gated Attention Blocks: Preliminary Progress toward Removing Attention Head Superposition" (co-authored with Dennis Akar). He has also participated in multiple mechanistic interpretability hackathons, including a top-ranked submission identifying a circuit for predicting gendered pronouns in GPT-2 Small (with Guillaume Corlouer, London EA Hub). He received a grant from the Long-Term Future Fund to support a 6-month salary for an AI Safety Camp project and continuing independent mechanistic interpretability research. He is currently a Founding Research Engineer at Harmony Intelligence, an AI safety startup focused on evaluations and red teaming.

AI safety researcher at Aether focusing on work related to LLM agent safety.

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Stephanie Ifayemi is Senior Managing Director of Policy at Partnership on AI, where she founded the organization’s policy department and leads global engagement with policymakers and international organizations on responsible AI governance. Previously she was Head of Digital Standards Policy in the UK government’s Department for Digital, Culture, Media and Sport, leading work on international technical standards for AI and other emerging technologies.

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Dr. Ali Akbari is Director of AI Practice at Gradient Institute, bringing a background in software engineering and more than 20 years’ experience building and operationalising AI systems. He holds an MSc in Artificial Intelligence and Robotics and a PhD in Computer Vision from the Tokyo Institute of Technology, and has led major AI projects across sectors including banking, government, transport and manufacturing. He previously led development of KPMG’s Trustworthy AI Model, helped implement the NSW AI Assurance Framework at Transport for NSW, and serves on Standards Australia’s AI Committee.

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Selamawit Tezera Chaka is a Pan‑African feminist and digital rights advocate from Ethiopia, serving as a United Nations Foundation Peace Next Generation Fellow and leading the sheEsecures initiative to advance women’s safety, peacebuilding and secure digital activism.

A Cambridge-based hub bringing together students and professionals to reduce existential risks from advanced AI systems through education, research mentorship, and community-building.

Mike Belinsky is Director of the AI Institute at Schmidt Sciences, where he helps lead strategy, management, and program design for AI initiatives; previously he was a principal at The Bridgespan Group and co-founded Instiglio, designing impact bonds such as the Educate Girls Development Impact Bond, and he holds a BA from Dartmouth College and an MPP from Harvard Kennedy School.

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Indie dev, Wanderer

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Computer scientist specializing in machine learning and deep learning, co-founder of OpenAI and Safe Superintelligence Inc., known for major contributions such as AlexNet, sequence-to-sequence learning and GPT models, and formerly serving as OpenAI's chief scientist.

AI ethics specialist and education researcher who serves as Training and Pedagogy Lead for Intelligence Rising, with an MPhil in Ethics of AI from the University of Cambridge and experience bridging theoretical frameworks and practical implementation in educational settings.

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Michael C. George is Head of AI, Labor and the Economy at Partnership on AI, where he leads research and policy work on how AI affects workers and labor markets. Previously he served as a senior advisor to the Deputy Commissioner of the U.S. Internal Revenue Service, focusing on modernizing IRS technology and implementing major legislation, and he has an academic background in government and economics as a Marshall Scholar.

Adam Goldstein is a co-founder of Softmax and serves as a board member and founder emeritus, after co-founding the travel startup Hipmunk and working as a visiting scientist in Michael Levin’s lab at Tufts on cell signaling, bioelectricity, and basal cognition; he is also described as Co-founder, Chairman, and Head of Research for Softmax in external profiles.

CBAI is a Cambridge, MA-based 501(c)(3) nonprofit that runs research fellowships and technical bootcamps to grow the pipeline of AI safety researchers, and fiscally sponsors student AI safety groups at Harvard and MIT.

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Asterisk is a quarterly journal of clear writing and clear thinking about things that matter.

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Alexander Iosad is Director of Government Innovation Policy at the Tony Blair Institute for Global Change, leading policy research on governing in the age of AI and how political leaders can use digital technologies to improve public services. He has deep expertise in education policy, has worked with ministers and international agencies across Africa and Europe, previously worked in edtech venture capital and public-sector innovation consulting, and holds a DPhil in history of science from the University of Oxford.

NLP researcher and data scientist with experience at Stanford University’s School of Engineering, Pr(Ai)2R Group, and Microsoft, focusing on understanding how AI models learn and process language.

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Anna Ek has served as a career counselor for Effective Altruism Sweden, supporting the organisation’s career support and coaching programmes for people seeking higher‑impact work.

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Humanities researcher and engineer, building the global AI governance & safety layer.

Mike McCormick is the founder and CEO of Halcyon Futures, a nonprofit grant fund and venture capital fund dedicated to ensuring that AI is developed in ways that are safe, secure, and beneficial for humanity, and he serves as a board member at the AI Verification and Evaluation Research Institute (AVERI).

Executive Director of the Safe AI Forum (SAIF). Previously a research scholar at the Centre for the Governance of AI (GovAI) studying technical AI progress and AI policy in China, and a researcher on Chinese data and technology policy at Sinolytics, Trivium China, and the Mercator Institute for China Studies; he holds a BA in Politics, Philosophy and Economics from the University of Warwick.

Assistant Professor of Computer Science at the University of Rhode Island and director of the ML4STS Lab, previously a Data Science Initiative postdoc at Brown University and a Chancellor’s Postdoctoral Fellow at UC Berkeley, with BS, MS, and PhD degrees in electrical/electrical and computer engineering from Northeastern University.

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Peter Schmidt-Nielsen is a hardware and machine learning engineer working on FPGA-accelerated servers at Saturn Data, building high-memory, high-bandwidth systems for workloads such as vector search. He previously worked as an ML engineer at Redwood Research and is a co-author of the NeurIPS 2022 paper "Adversarial Training for High-Stakes Reliability" on adversarial training methods for high-stakes AI reliability.