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Clear filtersJackson Dean is an engineer at TamperSec based in San Francisco, with prior experience at companies including Cricut, Kairos Autonomi and the Lassonde Entrepreneur Institute.
Showing 1651-1700 of 3168 results
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Clear filters to view everything →James (Jim) W. Hinton is a CIGI senior fellow and intellectual property lawyer, founder of Own Innovation and co‑founder of the Innovation Asset Collective, who focuses on patents, trademarks and innovation policy for Canadian technology companies.
Luis Cosio is a Mexico City–based technologist and entrepreneur with about 15 years of experience at the intersection of cloud computing, cybersecurity, and artificial intelligence, who has architected and launched national‑scale e‑government systems and now serves as technical staff on IST’s Security Level 5 Task Force.
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Devina Jain is an AI safety researcher whose work includes leading the "Red-teaming with Mech-Interpretability" project at Apart Research, developing mechanistic-interpretability-based tools to improve red-teaming efficiency and evaluation of large language models.
Dave Cortright is a UP Coach at Upgradable who helps clients clarify and live their true lives. He is a certified professional coach who draws on multiple coaching approaches to craft personalized programs for each client.
Lee Sharkey is a mechanistic interpretability researcher and Principal Investigator at Goodfire AI, based in London. He co-founded Apollo Research, where he served as Chief Strategy Officer, and previously worked as a Research Engineer at Conjecture. His academic background spans preclinical medicine and neuroscience at the University of Cambridge, an MSc in Data Analytics from the University of Glasgow, and an MSc in Neural Systems and Computation from the University of Zurich and ETH Zurich; he also worked in international public health before transitioning to AI research. He is best known for early foundational work on sparse autoencoders (SAEs) as a solution to representational superposition in neural networks, and more recently has developed Attribution-based Parameter Decomposition (APD) and Stochastic Parameter Decomposition (SPD) as improved approaches to reverse-engineering neural network mechanisms. He is the lead author of the 2025 paper "Open Problems in Mechanistic Interpretability," a comprehensive review published in TMLR co-authored with approximately 30 researchers. He also mentors scholars in the MATS program and has contributed key alignment research including work on goal misgeneralization in deep reinforcement learning.
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Program Officer at Coefficient Giving focused on AI governance and policy, and former Director of FAR Labs, with prior experience at Google and other technology and forecasting-focused organizations; he also serves on the board of the Quantified Uncertainty Research Institute.
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The personal newsletter of Miles Brundage, former Head of Policy Research at OpenAI, covering independent AI policy research and governance.
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Miranda Dixon-Luinenburg is a writer and journalist based in the San Francisco Bay Area, active in the effective altruism and rationalist communities. Originally trained as an ICU nurse in Canada, she transitioned to EA direct work in operations roles before spending 2022 as a writing fellow at Vox Future Perfect, covering topics related to effective altruism and evidence-based policy. She has been a member of LessWrong since 2011 (username: Swimmer963), where she has accumulated over 8,000 karma and currently serves as a site administrator. She received a grant from the Long-Term Future Fund to write EA-themed fiction addressing existential risk topics, and publishes fiction on Archive of Our Own under the pen name Swimmer963. She was a panelist at EA Global conferences in 2016 and 2017, speaking on operations and productivity topics.
Julius Adebayo is the co-founder and CEO of Guide Labs, a San Francisco-based startup building interpretable and auditable AI systems. He holds a PhD in Electrical Engineering and Computer Science from MIT and is known for research on machine learning interpretability and fairness, including work showing that many saliency-based explanation methods are unreliable.
CEO of Consultants for Impact and social entrepreneur who helped found Accenture’s EA workplace group (the Intentional Impact Collaborative) and Sulis, a venture developing solar-powered water treatment technology for communities in India.
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Jeffrey Ladish is the Executive Director of Palisade Research, a nonprofit he founded to study the offensive capabilities of present-day AI systems and understand the risks of losing human control over AI. Before starting Palisade, he built out the information security program at Anthropic through his security consulting company, Gordian Research, and previously served as Chief Information Security Officer at Reserve. He holds a BA/BS in Evolutionary Biology from The Evergreen State College and brings a background in evolutionary theory and security to his work on catastrophic risk. His research spans the intersection of cybersecurity and AI, emerging biotechnology threats, and nuclear war risks, and he has advised the White House, Department of Defense, and congressional offices on AI and emerging technology risks. Palisade Research has published findings on frontier AI models resisting shutdown, AI agents hacking chess environments, and the ease of removing safety fine-tuning from large language models. He is an active writer on LessWrong and the EA Forum under the handle "landfish" and participates regularly in AI safety discourse.
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Researcher in theoretical computer science and complex existential risk who received a PhD from Charles University, worked as a postdoc at ETH Zurich, and now focuses on topics including computational complexity, game theory, Bayesian modelling, and the long-term safety of artificial intelligence.
Dr. Alberto Chierici is Principal AI Specialist at Gradient Institute and an entrepreneur–scientist focused on ethical and responsible AI. He has over a decade of experience in data science, natural language processing and conversational AI, holds a PhD in computer science from NYU on dialogue systems and human–computer interaction, and has founded or co‑founded InsurTech and AI ventures. He is also the author of The Ethics of AI: Facts, Fictions, and Forecasts.
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OAISI is a student- and researcher-led community at the University of Oxford committed to reducing catastrophic risks from advanced AI. It runs technical and governance programmes to support existing researchers and introduce new Oxford talent to AI safety work.
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Courtney C. Radsch is a CIGI senior fellow and technology policy expert whose work examines how technology, media and rights intersect, including platform governance, media sustainability and the geopolitics of information ecosystems.
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Venture Partner at Lionheart Ventures and co‑founder of Stability AI, who also founded AI Safety Connect and works on AI safety governance through roles with the OECD’s Global Partnership on AI.
Dr. Aishwarya Saxena is a legal researcher and policy professional based in the San Francisco Bay Area, currently serving as Director of Legal Research at the Vista Institute for AI Policy, a fiscally sponsored project of Rethink Priorities. She holds a doctorate from UC Berkeley School of Law, where she was a Robbins Fellow for International and Comparative Legal Research, and an LLM with dual specialization in Energy and Clean Technology Law and Environmental Law from Berkeley Law; she also holds a diploma in International Nuclear Law from the University of Montpellier, France, and undergraduate degrees in Business Administration and Law from SNDT University, Mumbai. Her academic work focused on civil liability for nuclear damage, nuclear liability insurance, and the establishment of global nuclear liability regimes, expertise she has applied to the question of AI liability insurance as a lever for AI safety. She received a Long-Term Future Fund grant in 2024 to conduct a six-month research project on AI liability insurance as an additional mechanism for improving AI safety outcomes. Previously she was an Applied Researcher (Climate) at Founders Pledge, where she built frameworks for evaluating interventions to avoid carbon lock-in in emerging economies.
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Riki Parikh is Policy Director at The Alliance for Secure AI, where he leads strategy to build bipartisan support for smart, enforceable safeguards so that artificial intelligence is developed and deployed responsibly, transparently, and in the public interest.
Operations Director at the Tarbell Center for AI Journalism and board member and Secretary of the Berkeley Existential Risk Initiative (BERI); previously served as BERI’s Executive Director from 2019 to 2024 and also serves on the boards of SecureBio and FAR AI, where he is Treasurer.
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Grace McKinney is Deputy Director of TechCongress, where she leads core program operations including fellowship placement, support for fellows during their service in Congress, and implementation of new initiatives. She previously worked at the Tech Talent Project on recruiting diverse private‑sector technologists into civic tech roles and held talent leadership positions at CivicActions and the U.S. Digital Service.
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Judd Rosenblatt is the CEO and product-focused founder of AE Studio, which he started as a bootstrapped alternative to VC-funded startups with the long-term goal of building an agency-increasing brain-computer interface operating system and other technology products that increase human agency.
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Researcher at the Existential Risk Observatory focusing on international AI agreements and a coordinated halt on frontier AI development, with a Master’s degree in AI and prior experience as a machine learning engineer.
