SeedAI is a Washington, D.C. nonprofit working at the intersection of AI policy and practical application, helping policymakers and communities across the U.S. understand, adopt, and shape AI responsibly.
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Clear filtersSeedAI is a Washington, D.C. nonprofit working at the intersection of AI policy and practical application, helping policymakers and communities across the U.S. understand, adopt, and shape AI responsibly.
Showing 751-800 of 3167 results
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A Substack newsletter by Gergő Gáspár covering fieldbuilding strategy, careers, and marketing for the AI Safety and Effective Altruism communities.
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Assistant Professor of Computer Science at the University of Virginia whose research focuses on developing more capable, efficient and aligned large language models, including improved post‑training and training methodologies for superintelligent systems supported by an OpenAI Superalignment Fast Grant.
Steven (Steve) Feldstein is a senior fellow in the Democracy, Conflict, and Governance Program at the Carnegie Endowment for International Peace, where he examines how digital technologies—including surveillance systems and artificial intelligence—affect democracy, human rights, and U.S. foreign policy.
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Professor of Cognitive Neuroscience at the University of Oxford and Research Director at the UK AI Security Institute.
Emily Mackevicius is a co-founder and director of Basis Research Institute, where she leads the Collaborative Intelligent Systems group. A computational and systems neuroscientist, her work investigates how intelligent behaviors emerge in distributed and recurrent systems, grounded in high-resolution recordings of animal behavior such as group foraging in naturalistic environments. She completed her PhD in neuroscience in Michale Fee’s lab at MIT, followed by postdoctoral research with Dmitriy Aronov at Columbia University’s Zuckerman Institute and Center for Theoretical Neuroscience.
Dr. Stuart Armstrong is co-founder and Chief Mathematician of Aligned AI. Previously he spent around a decade at the Future of Humanity Institute at the University of Oxford advancing AI alignment research and analysing major global risks, developing novel AI control methods that have accumulated thousands of citations. He is the author of "Smarter Than Us", serves as a mentor for the Foresight Institute, advises the AI Safety Camp, and has given multiple TEDx talks and media appearances on AI and the future of space exploration.
Senior Researcher at CARMA who leads the Geostrategic Dynamics program, analysing how transformative AI reshapes multilateral competition and cooperation using tools from game theory, mechanism design, and international relations.
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Ali Ladak is a researcher at Sentience Institute with postgraduate degrees in economics and cognitive science. Before joining Sentience Institute, he worked at Charity Entrepreneurship on research to prioritize global health and development policy interventions, previously worked at an economic consultancy applying empirical methods to evaluate social policies, and contributed to research projects with Charity Entrepreneurship and Faunalytics in support of the animal advocacy movement.
SHfHS is a small philanthropic foundation that identifies and funds researchers and organizations working on existential risk reduction. It acts as a funding intermediary rather than conducting direct research.
Dwarkesh Patel is an American writer, researcher, and podcaster best known as the host of the long-form interview show Dwarkesh Podcast, which focuses on artificial intelligence, science, and history. While studying computer science at the University of Texas at Austin, he began interviewing writers and technologists in 2020 for an early version of the show, initially called The Lunar Society, and has since hosted high-profile guests including Andrej Karpathy, Ilya Sutskever, Mark Zuckerberg, Elon Musk, Satya Nadella, Tony Blair, and Dominic Cummings. In 2024 Time named him one of the 100 most influential people in AI, and in 2025 he co-authored The Scaling Era: An Oral History of AI, 2019–2025, a book largely composed of excerpts from his podcast interviews with leading AI researchers and company founders.
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Thomas H. Costello is an Assistant Professor in Social and Decision Sciences at Carnegie Mellon University, where he directs the Viewpoints Lab. He also holds affiliated faculty appointments at CMU's Human-Computer Interaction Institute and serves as a Research Affiliate at MIT's Sloan School of Management. He earned his PhD from Emory University under Scott Lilienfeld and completed a postdoctoral fellowship at MIT Sloan with David Rand and Gordon Pennycook. His research integrates psychology, political science, and human-computer interaction to study belief formation, attitude change, and the societal impacts of artificial intelligence on persuasion and misinformation. His landmark 2024 Science paper demonstrated that personalized AI dialogues (using GPT-4 Turbo) reduced conspiracy beliefs by approximately 20% in a large sample, with effects persisting for two months, earning the 2026 AAAS Newcomb Cleveland Prize. A subsequent 2025 Nature paper examined AI's persuasive power in political contexts, and his work on frontier LLMs' ability to persuade humans on extreme and hazardous topics directly addresses AI safety concerns around manipulative AI systems. He is a Research Affiliate at FAR.AI and was named an APS Rising Star in 2025.
Michigan State University's Department of Computer Science and Engineering (CSE) conducts AI safety research, notably through the OPTML group's work on trustworthy machine learning and LLM unlearning.
Eli Lifland is a forecaster focused on AI alignment who writes the Foxy Scout blog and is ranked first all‑time on CSET‑Foretell/INFER, with strong results in Metaculus tournaments such as the Economist and Salk forecasting challenges.
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A research funding program run by Schmidt Sciences that supports foundational technical research on understanding, predicting, and controlling risks from frontier AI systems. The program funds academic and nonprofit researchers working on AI safety science, evaluation methodology, and oversight of advanced AI.
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Philipp Bongartz is a German machine learning engineer and independent AI alignment researcher who received a Long-Term Future Fund grant of approximately $25,000 for prosaic alignment research using chess as a model domain. He has developed a research agenda centered on building a multi-modal chess-language model with an encoder-decoder architecture, using chess as a testbed for investigating symbol grounding and truthfulness in AI models. His GitHub projects include Chess2Vec, ChessTransformer, and other chess-related ML tools, as well as bioinformatics work suggesting a computational background spanning machine learning and life sciences. He holds a PhD (defended in early 2020) from the Heidelberg Institute for Theoretical Studies (HITS). He has been an active contributor to the LessWrong and Alignment Forum communities under the handle p.b. since December 2020, with over 26 posts and 295 comments on topics ranging from chess AI to model scaling and alignment methodology. He has worked as a Senior Consultant and Data Scientist at Exxeta AG in Germany and is a rated chess player with a FIDE standard rating of approximately 2155.
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Cole Wyeth is a PhD student in computer science at the University of Waterloo, supervised by Professor Ming Li and advised by Professor Marcus Hutter. He holds an M.S. in mathematics from the University of Minnesota, Twin Cities, and previously worked as a machine learning intern at Dexai Robotics with a publication at ICRA. His research focuses on algorithmic information theory, sequential decision theory, and the AIXI reinforcement learning framework, with a particular interest in theoretical AI safety and agent foundations. He has published work on reflective AIXI, embeddedness failures in universal AI, and the grain of truth problem for multi-agent reasoning. He organizes the AIXI research community at uaiasi.com and serves as an advisor to the AI Safety Research Fund. He received a grant from the Long-Term Future Fund to study extensions of the AIXI model to reflective agents in order to understand the behavior of self-modifying AGI.
Physicist, sustainable energy engineer, entrepreneur, and founder-director of the Existential Risk Observatory, focusing on reducing existential risks, especially from advanced AI, by informing public debate.
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ICLR is one of the world's premier annual academic conferences dedicated to deep learning and representation learning research. It was founded in 2013 by Yann LeCun and Yoshua Bengio.
Co‑Director of Kairos, an AI safety organization focused on supporting early‑career people entering the field, and a generalist software engineer with interests in computer science, cybersecurity, and using technology for social impact.
Joseph Bloom is a mechanistic interpretability researcher currently leading the White Box Control Team at the UK AI Security Institute (AISI), where his team focuses on estimating and addressing risks associated with deceptive alignment in frontier AI systems. He studied computational biology and statistics at the University of Melbourne, Australia, and previously worked as a data scientist at Mass Dynamics, a proteomics startup. He became a MATS 5.0 scholar under Neel Nanda and completed the ARENA 1.0 program, during which he developed expertise in sparse autoencoders (SAEs) and mechanistic interpretability of transformer models. He created SAELens, an open-source library for training and analyzing sparse autoencoders on language models (over 1,300 GitHub stars), and served as a maintainer of the TransformerLens library (over 3,200 stars). He also co-founded Decode Research, an AI safety research infrastructure nonprofit, and helped build Neuronpedia, an open platform for hosting and analyzing sparse autoencoder features. Earlier independent work on decision transformer interpretability was funded by the Long-Term Future Fund, Manifund, and Lightspeed Grants.
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Rob Sherman is Vice President and Deputy Chief Privacy Officer for Policy at Meta, where he leads work on privacy, security, and online trust across the company’s products and technologies. Before joining Meta (then Facebook) in 2012, he was an attorney at Covington & Burling advising technology and digital media companies on regulatory and public policy issues.
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Co-founder and Chief Scientist at Goodfire; previously co-founded the interpretability team at DeepMind before moving from London to South Park Commons in San Francisco to build the company’s interpretability research program.
