An annual 4-day academic summer school held in Prague focused on teaching AI alignment research frameworks to PhD students, ML researchers, and advanced students.

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.

An independent research project focused on proving formal impossibility results in AI alignment using theoretical computer science methods, led by Alexander Bistagne as a Ronin Institute Fellow.

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An online forecasting platform and aggregation engine that harnesses collective intelligence to produce calibrated predictions on questions of global importance, including AI timelines, biosecurity, nuclear risk, and climate change.

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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.

A major public research university whose AI safety-relevant work is centered on the AI+Human Objectives Initiative (AHOI) and Scott Aaronson's computational-complexity-meets-alignment research group, both supported by Open Philanthropy.

Friedrich Schiller University Jena is a major German research university that hosts the LAMALab, a research group led by Dr. Kevin Jablonka focused on AI-accelerated materials discovery and LLM benchmarking in chemistry.

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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A nonprofit research organization founded by Nick Bostrom to study how present-day actions influence humanity's long-term future, with a focus on existential risk, AI safety, and AGI governance.

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.

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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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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James Andrew Smith is a biosecurity researcher with a DPhil in medical sciences from the University of Oxford, where he also holds an undergraduate degree in biological sciences. He conducted postdoctoral and senior postdoctoral research at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) and the Centre for Statistics in Medicine at Oxford. He later held positions as a Research Fellow at RAND and a Senior Fellow at the Centre for Long-Term Resilience, working on biological risks from emerging technologies across academic, industry, and policy settings. In 2022 he co-authored the PLOS Biology paper "Biosecurity in an age of open science" (with Jonas Sandbrink), which examined how open science practices interact with biosecurity risks — a paper supported by the Long-Term Future Fund. More recently, he co-authored the landmark December 2024 Science paper on mirror life risks and now serves as Director of the Mirror Biology Dialogues Fund, an organization supporting expert dialogue on the risks posed by mirror biology.

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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.

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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.