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Clear filtersBen Weinstein-Raun is a Senior Researcher at Palisade Research and a researcher and software engineer focused on AI and related fields. In addition to his work at Palisade, he serves as acting director of AI Impacts and has previously worked as technical staff at SecureDNA, Redwood Research, the Machine Intelligence Research Institute, and Cruise Automation.
Showing 3201-3250 of 3786 results
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Research Scientist at Zeroth Research specialising in safe AI, stochastic control, decision-making, reinforcement learning, and formal verification, including work on neural supermartingale certificates for safety guarantees.
Philosopher of technology specializing in existential phenomenology and its applications to AI, holding a PhD in philosophy from Northwestern University and serving as Philosopher in Residence at Topos Institute and a visiting scholar in philosophy at UC Berkeley.
A small nonprofit research organization studying global catastrophic risks, best known for its insight-based AI timelines model and research on the feasibility of training AGI via deep reinforcement learning.
Operations Associate at Kairos who handles operations for SPAR and Pathfinder and is leading the transition for Kairos’s takeover of the Global Challenges Project, after more than three years on the groups team at the Centre for Effective Altruism and work in grants administration at Effective Ventures.
Dr. Dewey Murdick served as Executive Director of Georgetown’s Center for Security and Emerging Technology (CSET) from 2021 to 2025, where he provided policymakers and industry leaders with data-driven analysis on the security implications of emerging technologies. Prior to that role he was CSET’s Director of Data Science and Research, founding the center’s data analytics capabilities. Before joining CSET, he was Director of Science Analytics at the Chan Zuckerberg Initiative, Deputy Chief Scientist at the U.S. Department of Homeland Security, and a program manager at the Intelligence Advanced Research Projects Activity (IARPA). He holds a Ph.D. in Engineering Physics from the University of Virginia and a B.S. in Physics from Andrews University.
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James Herbert is a co-director of Effective Altruism Netherlands, based in Amsterdam. He previously worked as a consultant on urban socio-economic development projects and programmes funded by the EU, after studying liberal arts in the UK and philosophy in the Netherlands. Originally from northeast England, he now focuses on building the Dutch EA community and helping people use their careers, time and money to have more impact.
An expert-managed grantmaking fund that supports projects building the effective altruism community's capacity, including community building, prioritization research, epistemic infrastructure, events, and fundraising for effective charities.
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An interdisciplinary research lab at Carnegie Mellon University, directed by Simon DeDeo, that studies complex social systems through mathematical modeling and empirical investigation to better understand humanity's past, present, and future.
Founder and Executive Director at AI Safety South Africa
backend eng with an interest in latent space exploration
Engineer at Atlas Computing based in Cambridge, United States, helping AI and formal verification communities support each other and with a physics background from Harvard University.
Andrew Zeng is an AI policy researcher and undergraduate student at Stanford University (class of 2026), where he serves as co-president of Stanford AI Alignment (SAIA). His research focuses on international coordination and governing high-risk AI systems, with particular interest in the state of AI safety in China and its implications for global existential risk. He received a 3-month stipend from the Long-Term Future Fund to support research on AI safety in China. Zeng also co-authors the AI Safety Newsletter published by the Center for AI Safety (CAIS), where he has written on topics including AI policy implications of the Trump administration and compute scaling. He has also served as a spotlight editor for The Stanford Daily.
A nonprofit organization working to steer transformative technologies -- particularly AI, biotechnology, and nuclear weapons -- away from extreme large-scale risks and towards benefiting life.
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A community blog and forum devoted to refining the art of human rationality, with major focus areas including AI alignment, cognitive biases, decision-making, and effective altruism.
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Sumeet Ramesh Motwani is a Machine Learning PhD student at the University of Oxford, advised by Philip Torr and Christian Schroeder de Witt, with funding from Eric Schmidt and CAIF. He completed his undergraduate degree in computer science at UC Berkeley, where he was a member of Berkeley AI Research (BAIR) advised by Dan Hendrycks. His research focuses on RL post-training, multi-agent systems, and AI security, with particular interests in meta-RL, open-endedness, and long-horizon LLM agent capabilities. He is known for his work on "Secret Collusion Among Generative AI Agents" (NeurIPS 2024), which established the subfield of secret collusion in multi-agent AI systems, and for "STARC: A General Framework For Quantifying Differences Between Reward Functions" (ICLR 2024), published while he was an undergraduate. He has also contributed to research on autonomous web-browsing agents (Agent Q, REAL benchmark) and multi-agent LLM training (MALT, COLM 2025). He participated in the MATS (ML Alignment Theory Scholars) program and is affiliated with the Future of Life Institute as a community researcher. He has held research positions at Microsoft Research (AI Frontiers lab) and Google X.
Fulton Wang is a co-founder of Guide Labs and holds a PhD in computer science from the Massachusetts Institute of Technology (MIT).
Marketing, product, and community leader with around 14 years’ experience across tech startups, media corporations, social platforms, and agencies; former Head of Marketing & Growth at Spark Wave; co-founded and helped lead AI Safety Australia & New Zealand; and currently leads the Technical Alignment Research Accelerator (TARA) while serving on advisory boards for organisations such as Giving What We Can and Results Australia.
The Responsible AI Collaborative (TheCollab) is a nonprofit that maintains the AI Incident Database (AIID), the leading public repository of documented real-world AI harms and near-harms.
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Nicolas Rodriguez is an AI governance specialist, LinkedIn Learning instructor with over 300,000 students, and consultant who founded RiesgosIA.org and GobernarIA.com to build practical AI safety and governance infrastructure, educational resources, and tools for Spanish-speaking organizations.
Director of Partnerships at the AI Safety Awareness Project. Originally from Caracas, Venezuela, he has lived in Chicago for roughly 25 years (with brief periods in Canada, Colorado, and Scotland) and spent about seven years working in sales roles at five startups, helping to navigate and secure funding rounds. In 2024 he pivoted into AI safety and now leads AISAP’s partnership framework while personally delivering AI safety workshops, webinars, and train-the-trainer programs for libraries and community organizations across the United States.
AI safety researcher and principal researcher at Cavendish Labs, with previous undergraduate study at Brown University.
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AI Explained is a London-based YouTube channel by a creator known as Philip that provides hype-free coverage of AI developments, capabilities, and safety topics for a general audience.
Jonas Hallgren is a co-director at Equilibria Network who directs the organization’s research architecture and operational systems, drawing on several years of AI safety research with a special focus on multi-agent coordination using active inference frameworks.
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Luke Thorburn is an interdisciplinary researcher working on AI and conflict and a research fellow at the AI & Democracy Foundation, with additional affiliations including MIT, the digital peacebuilding organisation Build Up, the GETTING-Plurality Research Network at Harvard, the MINT Lab at Johns Hopkins/ANU, and the Council on Tech + Social Cohesion.
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ARLIS is the University of Maryland's Department of Defense University Affiliated Research Center (UARC) dedicated to intelligence and national security, combining AI, behavioral science, and systems engineering to address complex security challenges.
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Oxford-based AI safety company developing concept extrapolation technology to enable AI systems to generalize human values and intent beyond their training data.
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Alex Semendinger is a Research Manager at the Cambridge Boston Alignment Initiative, supporting fellows on technical AI safety projects. He has a background in mathematics and machine learning and writes publicly about transformers and interpretability.
Ryan Baylon is an Operations Associate at the Cambridge Boston Alignment Initiative and helps run AI safety programming for MIT AI Alignment (MAIA), supporting student groups and CBAI’s fellowships and workshops in Cambridge.
Founder of the AI Safety Initiative at Georgia Tech and Ph.D. student at the RAND School of Public Policy who also serves as a fellow at the Institute for Progress.
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Data scientist and PhD candidate in reinforcement learning at Deakin University, holding a bachelor’s degree in commerce from the University of Melbourne and a master’s degree in data science from Deakin, and working on reinforcement-learning-focused research within ARAAC.
Nicco Reggente, Ph.D., is a cognitive neuroscientist and entrepreneur who co-founded the Institute for Advanced Consciousness Studies and serves as its Research Director and Principal Investigator. His work focuses on neuroimaging-informed, personalized neurotechnology that combines immersive media, neurofeedback, and machine learning to induce and re-instantiate beneficial meditative and entheogenic states. He also teaches functional neuroimaging at UCLA and has published widely on memory, consciousness, empathy, and clinical applications of brain imaging.
PhD candidate at the University of Genoa and the Tarello Institute of Philosophy of Law, Research Director at the Laboratory on Innovation and Artificial Intelligence of the University of Buenos Aires (UBA IALAB), and a lawyer trained at the University of Buenos Aires.
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