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Laura Smith Morton
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Clear filters to view everything →Incubate AI safety research and develop the next generation of global AI safety talent via research sprints and research fellowships
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Applying experience from mechanistic interpretability of genetic networks to neural networks
A 4-5 day workshop for agent foundations researchers at Carnegie Mellon University in March, 2025
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Patrick Udeh is a programs and partnerships professional based in Lagos, Nigeria, with experience in startup and technology ecosystems. He has worked as Programs and Partnerships Manager at Kuvora and previously held roles at organizations including the International Association for Safe & Ethical AI, Ctrl+C Academy and Meta, alongside hands-on work on AI data annotation projects that support machine learning initiatives and product development.
Rajashree Agrawal is a machine learning research engineer and co‑founder of Theorem, where she leads work on training AI models that power the company’s formal verification pipeline; her background spans machine learning, programming languages, and AI safety research, including participation in programs like MATS.
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Director of Sage, the nonprofit that runs AI Digest, where he leads work on interactive AI explainers and forecasting tools such as Fatebook and Quantified Intuitions. He previously worked as a researcher at Clearer Thinking and was a PhD student in computer science at the University of St Andrews, focusing on tools that help people externalize complex mental models and improve decision-making.
Dr Henry Shevlin is Co‑Director of Education and Programme Co‑Director for Kinds of Intelligence at the Leverhulme Centre for the Future of Intelligence, where he leads the Centre’s education programmes. A philosopher and cognitive scientist by training, his research focuses on consciousness, creative intelligence and anthropomorphism, with a particular emphasis on the emerging cognitive capabilities and ethical implications of large language models and other advanced AI systems.
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Jimena Sofía Viveros Álvarez, LL.M., is an international lawyer and scholar specialising in AI governance, peace and security, and sustainable development in the Global South. She is the managing director and CEO of IQuilibriumAI and president of The HumAIne Foundation, and serves as a member of the UN Secretary‑General’s High‑Level Advisory Body on AI as well as a commissioner of GC‑REAIM, alongside advisory roles in multiple multilateral initiatives on AI and digital governance.
Julia Bossmann is a technologist and AI researcher focused on post-AGI futures and the societal impacts of artificial intelligence. With an academic background in neuroscience, she has worked across AI and startups and held roles at organizations including McKinsey & Company, Bosch Research & Technology, Singularity University, Foresight Institute, and the Human Rights Measurement Initiative, as well as writing widely cited work on ethical issues in AI.
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Software engineer and major contributor at QURI who led the Squiggle language rewrite and development of Squiggle Hub; previously worked on projects like the Kocherga rationalist community space in Moscow and various open-source tools.
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Aaron Halpern is Strategy and Ecosystem Lead at Equilibria Network, a complexity scientist and systems-design enthusiast working on collective intelligence. He holds a PhD from University College London on the origin of genetic coding and has expertise in cultural evolution and practical problem reframing.
Master of Engineering (MEng) student in the Algorithmic Alignment Group at MIT focused on red-teaming, robustness, and preference learning for language models, with prior research experience in quantum information theory and proximal operators.
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Assessing whether Persona drift be detected in conditionally misaligned models using the assistant axis and potentially analyzing the reasons for failure
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Establishing a sovereign, decentralized Sentry node to audit frontier AI agents for logic escapes ($E_{escape}$) using the Inverted Social Drift ($SD$) metric.
Ex-programmer interested in AI x-risks mitigation. Experienced in leading small orgs.
Executive Director of Tax Compliance, Johns Hopkins Health System
Redefining AI's role in Human Connection and Interaction
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PhD student whose research explores the use of language in reinforcement learning, with primary interests in model-free reinforcement learning and generalisation in machine learning, supervised within ARAAC.
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Prof. Dr. Igor Calzada, MBA, FeRSA, is a social scientist and policy researcher who serves as a Senior Scientific Advisor to Astera Institute while holding appointments as a Principal Investigator at Cardiff University’s WISERD, as an Ikerbasque Research Professor, and as faculty at the University of the Basque Country. His work focuses on AI economics, digital and urban transformations, and data cooperatives, building on a long career studying how technological change reshapes cities, governance, and democracy.
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6-month stipend to work on a research project on AI Liability Insurance as an additional lever for AI Safety
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AI Safety Advocate
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