Loading results...
Showing 1401-1450 of 3787 results
Clear filtersAssistant Professor in the Department of Linguistics and affiliate faculty in the Department of Computer Science at Boston University, where she leads research at the intersection of computational semantics, pragmatics, and generalization in human and machine learners. She received her PhD in Cognitive Science from Johns Hopkins University, and her work has been supported by funders including the NSF, Google, and Open Philanthropy.
Showing 1401-1450 of 3787 results
Active filters: Type: Org, Individual
Clear filters to view everything →Wavefront Security provides at-cost cybersecurity services to nonprofits and policy organizations in the AI safety, biosecurity, and global catastrophic risk space.
Making a feature-length documentary on AI. I communicate risks from AI to the public.
No summary available yet.
No summary available yet.
No summary available yet.
Community Lead for the AI Safety Initiative at Georgia Tech and Psychology Ph.D. student who manages AISI’s meetings and socials and uses neuroscientific methods to study AI systems and brain computation.
Alignment researcher and organiser working on AI safety field-building in India, leading the Groundless Alignment Residency 2025 for Autostructures fellows to continue the Live Theory agenda and run research retreats.
A small nonprofit conducting outreach, education, and advocacy to improve institutional responses to existential risk from advanced AI. Led by Mikhail Samin and based in London.
No summary available yet.
Stephen J. Hadley is a principal of Rice, Hadley, Gates & Manuel LLC, where he advises senior executives of major corporations on political and national security challenges in major emerging markets. He previously served as U.S. National Security Advisor from 2005 to 2009, after four years as Deputy National Security Advisor, and earlier was Assistant Secretary of Defense for International Security Policy.
No summary available yet.
Yi Zeng is a Professor of Artificial Intelligence at the Institute of Automation, Chinese Academy of Sciences, and a Wu Yuzhang Chair Professor at the Gaoling School of Artificial Intelligence, Renmin University of China. He is the founding dean of the Beijing Institute of AI Safety and Governance (Beijing-AISI) and director of the Beijing Key Laboratory of Safe AI and Superalignment, as well as director of the International Research Center for AI Ethics and Governance and the Center for Long-term Artificial Intelligence. He serves on national and international bodies including the United Nations High-Level Advisory Body on AI and UNESCO’s Ad Hoc Expert Group on AI Ethics, and works primarily on AI safety, ethics, governance and brain-inspired AI.
Founding Partner at Lionheart Ventures and two‑time technology entrepreneur; previously co‑founded and served as CEO of corporate catering company Zesty (acquired by Square) and GroupSpaces, and has made 20+ angel investments after studying Mathematics at Oxford.
Dominic Armstrong is Podcast Technical Project Manager at 80,000 Hours. He holds a BBA and a technical degree in audio engineering, and before joining 80,000 Hours worked at an education nonprofit, taught music production, and worked as a freelance music producer and audio engineer supporting independent musicians.
Max is the Chief Growth Officer at Giving What We Can, where he leads cross‑team efforts to grow the organisation’s impact and its community of 10% and Trial Pledgers. He previously co‑founded Otrium, a company focused on solving the problem of excess inventory in fashion by creating an online marketplace for end‑of‑season clothes.
No summary available yet.
No summary available yet.
Nathaniel B. Monson is a Founding Research Scientist at Guide Labs, a product-focused research company building inherently interpretable large language models. He holds a Ph.D. in Mathematics from the University of Maryland, College Park, where his dissertation focused on computational topology including an approximation theorem on persistent homology, and a B.A. with High Honors from Swarthmore College. He transitioned into AI interpretability research in Autumn 2022, supported by a Long-Term Future Fund grant and a Lightspeed grant, with a focus on using mechanistic interpretability tools to extract objective functions from complex models and addressing polysemanticity in neural networks. On LessWrong and the Alignment Forum, he writes about AI alignment topics including mechanistic interpretability and long-term AI safety. Guide Labs, where he is a founding team member, recently open-sourced Steerling-8B, an 8-billion-parameter LLM designed so that every token produced can be traced back to its origins in training data.
Luiz Gabriel Braun is a journalist and marketing manager at AE Studio and Instill, contributing regular opinion and marketing columns to Economia SC.
No summary available yet.
No summary available yet.
Bob Kolasky is a nonresident scholar in the Technology and International Affairs Program at the Carnegie Endowment for International Peace and senior vice president for critical infrastructure at Exiger, where he develops third‑party and supply‑chain risk management solutions for critical infrastructure organizations.
No summary available yet.
CaML researches how synthetic pretraining data can shift AI systems towards greater compassion and moral open-mindedness regarding all sentient beings, including animals and potential digital minds.
No summary available yet.
AI security professional with a background in AI-led security operations and startup growth; at Straumli AI he leads the development of auditing tools that help developers screen AI models for dangerous capabilities and contribute to AI safety infrastructure.
No summary available yet.
No summary available yet.
No summary available yet.
Josiah Lopez-Wild is a PhD candidate in the Logic and Philosophy of Science department at the University of California, Irvine, where he expects to complete his doctorate in Spring 2026. He holds a BA in Philosophy from Northwestern University and an MA in Philosophy from the University of Wisconsin, Milwaukee. His research focuses on computable decision theory and Bayesian epistemology, specifically developing computable versions of classical representation theorems from decision theory using tools from computable analysis and algorithmic randomness. He is the author of 'A Computable von Neumann-Morgenstern Representation Theorem' (forthcoming in Synthese, 2025) and co-authored 'Cartesian Frames' (2021) with MIRI researcher Scott Garrabrant and Daniel A. Herrmann, an AI alignment framework applying Chu space mathematics to agent theory. He was introduced to AI safety research through conversations within UCI's LPS program and has received funding from the Long-Term Future Fund for his PhD research related to AI safety.
Co-founder of Catalyze Impact, a non-profit organization that supports individuals in setting up AI safety organizations and hosts events on AI safety entrepreneurship and founding impactful AI safety projects.
No summary available yet.
No summary available yet.
Game Design and Research Lead for Intelligence Rising, holding a PhD in Astrobiology and an MSci in Natural Sciences from University College London, with experience in interdisciplinary research and early‑stage technical startups, including co‑founding the Equilibria Network project on AI and collective intelligence.
Kyle Gracey is the Head of AI & Biosecurity at Future Matters, leading strategy and capacity-building work for clients such as think tanks and policymakers on AI and biosecurity risks. They have around 18 years of combined experience across consulting, policy, politics and social movements, including roles in the U.S. government and military and service to then–Vice President Joe Biden. Previously they helped build a major global network of climate organizations, co-founded an advocacy coalition at UN climate negotiations, managed nearly 100 consulting projects for Fortune 500 and other large companies in areas such as software, biotech and clean energy R&D, and earned degrees in fields including biochemistry and biophysics, economics, public policy and geophysical sciences.
No summary available yet.
Executive Director of UC Berkeley’s Center for Long-Term Cybersecurity, where she leads a multidisciplinary research center on cybersecurity and AI security; co-founded and chairs the Consortium of Cybersecurity Clinics; previously served as Interim Executive Director of the Berkeley Institute for Data Science and as Senior Director of Strategic Planning at the ClimateWorks Foundation; holds an MBA in Sustainable Management from Presidio Graduate School and a B.A. from Rice University, with research interests in cybersecurity futures, digital risk communications, governance of cyber risk, and secure clean energy.
No summary available yet.
Jona Glade is CEO of Astralis Foundation and co-founded the advisory firm cFactual, where he has delivered numerous strategy and research projects. Previously he spent several years as a consultant at BCG and two years researching organizational psychology and AI for decision-making, and he founded Consultants for Impact after studying organizational psychology at the University of Vienna.
Jordan Schneider is the founder and editor-in-chief of the ChinaTalk podcast and newsletter. He previously worked at the Rhodium Group and Bridgewater, and has also held roles at Chinese tech firm Kuaishou and the Eurasia Group. He holds a master’s degree in economics from Peking University’s Yenching Academy and a BA in history from Yale, and his research and commentary on China and technology have appeared in outlets such as Foreign Affairs, Foreign Policy, Wired, and Lawfare.
Ellie Hain is an artist and cultural strategist working on new imaginaries and ideologies for the post-industrial age. She co-founded the Meaning Alignment Institute, an AI research lab developing full-stack alignment technologies and institutions that are aligned with meaning.
No summary available yet.
No summary available yet.
No summary available yet.
AI Safety ANZ builds and supports a community of AI safety researchers and advocates across Australia and New Zealand, empowering careers and local field-building to mitigate catastrophic AI risks.
Marc‑Antoine Dilhac is a professor of ethics and political philosophy at Université de Montréal and an associate academic member of Mila. He holds a CIFAR Chair in AI Ethics, previously held a Canada Research Chair in Public Ethics and Political Theory, and his research focuses on democracy, social justice, and the ethical and governance implications of AI.
No summary available yet.
No summary available yet.
No summary available yet.
