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Artyom (Artem) Karpov is an independent AI safety researcher and ML engineer based in Istanbul, Turkey. He holds a degree in Applied Mathematics and has over 15 years of software engineering experience, having previously built real-time emergency response systems and contributed to .NET Core. He transitioned to AI safety research in 2022 after becoming interested in the field through the 80,000 Hours career guide, and has since completed the MATS, ARENA, MLSS, and Apart Fellowship programs. He participated in AI Safety Camp (2023), where he worked on the project "Inducing Human-Like Biases in Moral Reasoning Language Models," which resulted in a paper accepted at a NeurIPS workshop. His subsequent research has focused on LLM steganography and encoded reasoning in chain-of-thought, with papers accepted at AAAI, ICLR, and NeurIPS workshops. He has received early-career funding from Open Philanthropy (via Good Ventures Foundation) and has contributed evaluations to the UK AI Security Institute.
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Alexander (Sasha) Bystritsky, M.D., Ph.D., is a psychiatrist and neuroscientist who serves as President of the Institute for Advanced Consciousness Studies. He is Professor Emeritus of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine at UCLA and is widely known for his work on anxiety disorders, focused ultrasound, and neuromodulation-based treatments.
Paul Saffo is a Silicon Valley-based forecaster who studies the dynamics of large-scale, long-term technological change. He teaches forecasting as an Adjunct Professor in Stanford University’s School of Engineering, chairs the Future Studies track at Singularity University, and is a non-resident Senior Fellow at the Atlantic Council and a Fellow of the Royal Swedish Academy of Engineering Sciences.
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Tristan Harris is a technology ethicist and co‑founder of the Center for Humane Technology, a nonprofit whose mission is to align technology with humanity’s best interests. A former Google design ethicist, he now focuses on how major platforms and AI systems shape society, co‑hosts the podcast Your Undivided Attention, and was a prominent voice in the Netflix documentary The Social Dilemma.
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Yoav Tzfati is an AI safety researcher and software engineer based in Berkeley, California. He is a MATS 5.0 alumnus who worked on scalable oversight research, specifically on experimental methodology for evaluating AI alignment techniques including Consultancy and Critiques in synthetic settings, mentored by Julian Michael of the NYU Alignment Research Group. He subsequently joined the Security Level 5 (SL5) Task Force at the Institute for Security and Technology as a Member of Technical Staff, focusing on supply chain and machine security, and contributes to developing the SL5 standard for securing AI data centers. He is also a mentor for SPAR Spring 2026 projects related to AI security and safety infrastructure. Prior to his AI safety work, he drove engineering for attack surface discovery automation at CyCognito and served as Tech Lead at Arbor Trading Bootcamp. He has spoken at the Berlin AI Safety Meetup on his scalable oversight research and has also developed educational programs teaching non-programmers to build full-stack applications using AI tools.
Lukas Berglund is an AI safety researcher currently serving as Technical Staff at the U.S. Center for AI Standards and Innovation (CAISI) at NIST. He is best known as the lead author of "The Reversal Curse: LLMs trained on 'A is B' fail to learn 'B is A'," published at ICLR 2024, which demonstrated a fundamental generalization failure in autoregressive large language models. He also co-authored "Taken out of context: On measuring situational awareness in LLMs," an influential paper exploring how models recognize whether they are in training or deployment. His research was conducted in part as a MATS Fellow through the SERI MATS program, with support from Open Philanthropy. He has an undergraduate background from Vanderbilt University and his work spans AI evaluation, AI security, and empirical research on the capabilities and failure modes of frontier AI systems.
Meghna Mann is President and Chief Operating Officer at Constellation Institute, overseeing programs and operations that strengthen AI safety talent pipelines and support the launch and growth of mission-aligned organizations. Previously, she held senior leadership roles at MetaMap—including serving as COO and later CEO of the identity-verification company—after earlier positions at BlackRock and the Brookings Institution, and she advises high-growth technology ventures through the Endeavor Global network.
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Research Scientist at the UK AI Security Institute whose work focuses on bridging immediate AI harms and longer-term catastrophic risks in AI safety.
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Alignment/digital minds researcher at AE Studio
Manifund's account for Mox, a coworking & events space in SF
Historian of Ideas focused on the history of AI.
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Gergő Gáspár is a community builder with an academic background in psychology. Since 2019 he has grown EA organising work from a university group into the national organisation EA Hungary, founded AI Safety Hungary, and moved into full-time community building in 2021. He has served as a part-time Director at the European Network for AI Safety, co-founded Amplify, an EA-aligned digital marketing agency supporting fieldbuilding organisations, previously volunteered as a charity analyst and analysis coordinator at SoGive, and now directs Effective Altruism UK while writing the Building Capacity Substack on fieldbuilding strategy, careers and marketing.
Research Scholar at ILINA and Research Fellow at the Centre for AI Risk Management and Alignment (CARMA), where she works on AI liability regimes and maps whistleblowing channels and legal protections in the US, UK, and EU; she has co‑authored work on why Global South countries should care about highly capable AI and holds an undergraduate law degree from Strathmore University.
Samuel Marks is a board member of the Cambridge Boston Alignment Initiative and leads the cognitive oversight subteam on Anthropic’s alignment science team, working on methods to oversee AI systems by analyzing their internal cognitive processes.
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Katie McMahon is a global technology executive and entrepreneur with more than two decades of experience at the forefront of sound recognition and natural language understanding, including senior roles at Shazam and SoundHound. She now advises and consults for early-stage AI and voice-technology companies and serves as a researcher and member of the Berryville Institute of Machine Learning, contributing to work on safe, secure, and ethical AI systems.
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Rhizomatic cartographer and technomancer. Hip hop/hyperpop enthusiast. Musician and artist. Engineer @SearchOnDora .
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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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.
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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.
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