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Showing 851-900 of 4525 results
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Operations Coordinator and Board Member at the Transformative Futures Institute and a PhD student in industrial engineering at Wichita State University, where she teaches machine learning and generative AI.
The 501(c)(4) advocacy arm of the Center for AI Safety, dedicated to advancing bipartisan public policies that maintain U.S. leadership in AI and protect against AI-related national security threats.
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Gray Swan AI is an AI safety and security company that builds tools to assess vulnerabilities in AI deployments and develop more robust, attack-resistant AI models. It was founded in 2024 by Carnegie Mellon University researchers who pioneered automated jailbreaking research.
Max Dalton is Director of Forethought, leading its research on how to navigate the transition to superintelligent AI systems. He was previously Executive Director at the Centre for Effective Altruism and holds a first-class degree in Philosophy, Politics and Economics from the University of Oxford, as well as an MSc in Economics with a focus on the economics of technological change.
Cameron King is Operations Lead at Animal Advocacy Africa, having moved from running an e-commerce business to charity entrepreneurship and remaining active in the effective altruism community for over a decade.
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Conducting independent research into AI forecasting and strategy questions
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Support to conduct a research project collaboration on Compute Governance
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Camille Carlton is the senior director of strategy and impact and policy director at the Center for Humane Technology, where she leads policy strategy to ensure technology is designed and governed in the public interest. Previously a technology policy researcher at UC Berkeley, she has been recognized on Business Insider’s AI 100 list and has written and been featured in outlets including Science and Tech Policy Press, The New York Times, and Bloomberg.
Curt Tigges is a mechanistic interpretability researcher whose work has focused on sparse autoencoder evaluation and circuit-level analysis of large language models. He served as science lead at Decode Research, helping direct research and design features for Neuronpedia, and later joined Goodfire AI as a researcher. He is a co-author of SAEBench and "Sparse Autoencoders Do Not Find Canonical Units of Analysis" and is widely cited for work on linear representation and sentiment circuits.
Veronica Irwin is a senior policy reporter at Transformer, covering AI policy with a focus on Washington, D.C. She has previously covered federal crypto policy for Unchained, Brogan Law and Project Glitch, and earlier reported on crypto, fintech and venture capital for Forbes and Protocol and on the local tech industry for the San Francisco Examiner. She holds a master’s degree in business and economics reporting from New York University.
Kristian Rönn is the CEO and co‑founder of Lucid Computing, where he leads work on verification infrastructure for compute export controls, after spending eleven years building Normative, a carbon accounting platform for corporate emissions tracking.
Arizona State University is a major public research university and one of the largest in the United States, with significant programs in AI governance, responsible innovation, and governance of emerging technologies.
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Head of the Global Challenges Project at Kairos, a generalist with a background in the UK government, political campaigns, and nonprofit leadership, previously Strategy & Delivery Advisor on the chem/bio workstream at the UK AI Security Institute and founder of the AI safety fieldbuilding organization Arcadia Impact.
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Chartered engineer and researcher at MIT FutureTech who manages the AI incident pipeline and applies systems engineering methods to the technical governance and safety of artificial intelligence.
Independent researcher focused on building knowledge-infrastructure tools for the effective altruism and AI safety communities, including Timelines Wiki and AI Watch. His work emphasizes data aggregation and creating utilitarian reference material rather than original AI safety research.
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Program Manager at ILINA, responsible for day‑to‑day operations, and an Operations Assistant at the Berkeley Existential Risk Initiative (BERI); she holds an undergraduate law degree from Strathmore University.
Lucas is the Senior Partnerships Manager at Giving What We Can, where he develops and manages partnerships with organisations that share GWWC’s vision of making effective and significant giving a cultural norm and helps coordinate the broader effective giving ecosystem, including the incubation of new effective giving initiatives.
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Bob Lord is a cybersecurity executive and public‑interest technologist who has led major Secure by Design initiatives at the Institute for Security and Technology and at CISA, and previously held senior security roles at organizations including the Democratic National Committee, Yahoo, Twitter, Red Hat, and Rapid7.
Jack Gallagher has worked as a researcher in type theory and decision theory at the Machine Intelligence Research Institute.
Research into the international viability of FHI's Windfall Clause
Assistant Professor of Law, University of Houston; Law and Policy Advisor, Center for AI Safety
Peyton Hornberger is the communications director at The Alliance for Secure AI, where she drives national strategy to ensure artificial intelligence develops within guardrails that protect U.S. security and democratic values.
Collective intelligence systems, Mechanism Design, and Accelerating Alignment
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Aanya F. Niaz is the Global Education Equity Leader at Amazon Web Services, where she leads a US$100 million commitment of cloud and AI technology to organisations building learning solutions for underserved learners worldwide. She is a PhD candidate at the University of Cambridge Faculty of Education and a Student Fellow at the Leverhulme Centre for the Future of Intelligence, researching how AI shapes learning, voice and flourishing for underserved communities, and is the founder of The Maple Group, a global network of education leaders bridging research and practice.
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Retrospective support for small virtual reading group on AI safety topics
Enabling rapid deployment of specialized engineering teams for critical AI safety evaluation projects worldwide
Chief Scientist at the UK AI Security Institute; previously led the Scalable Alignment Team at DeepMind and the Reflection Team at OpenAI, and worked on neural network theorem proving at Google Brain and computational physics and geometry at organisations including Otherlab, D. E. Shaw Research, Pixar and Weta Digital.
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Émélie Brunet is Vice‑President of Talent and Ecosystem at Mila – Quebec Artificial Intelligence Institute, where she oversees talent management, communications, events programming, and the creation of collaborative spaces that connect Mila’s scientific community, industry partners, and the public.
Professor of Data Science and Computer Science at Brown University and Director of the Center for Technological Responsibility, Reimagination, and Redesign (CNTR), whose research focuses on algorithmic fairness and the impact of automated decision-making systems in society; previously the John and Marva Warnock Assistant Professor at the University of Utah and 2021–2022 Assistant Director for Science and Justice in the White House Office of Science and Technology Policy, where he helped co-author the Blueprint for an AI Bill of Rights.
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