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Showing 1901-1950 of 4522 results
An AI research consultancy providing foresight and strategy across the frontier AI supply chain, focusing on hardware and software supply chains, strategic AI use cases, and control and ownership of AI systems.
Harmony Intelligence is an AI safety research and engineering company that reduces catastrophic AI risk through frontier model evaluations, red teaming, and AI-powered defensive cybersecurity products.
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Geoffrey D. Dabelko, PhD, is Senior Advisor and former director of the Wilson Center’s Environmental Change and Security Program, a professor and associate dean at Ohio University’s George V. Voinovich School of Leadership and Public Affairs, and an associate senior fellow with the Stockholm International Peace Research Institute’s Environment of Peace Initiative.
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Founder of Wiser Human, background in risk management, focusing on developing technical human control mechanisms for agentic AI systems which are robust to agent subversion
Ship It: Building Bridges for Better AI Outcomes
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AE Studio ops
3-month salary for SERI-MATS extension
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Europe's first ELLIS Institute, based in Tübingen, Germany, conducting pioneering fundamental AI research with dedicated groups in AI safety, alignment, and robust machine learning.
AGI safety / alignment and neuroscience researcher at Astera Institute
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Rolls‑Royce Commonwealth Eminent Professor of Commerce at the University of Virginia, Co‑Director of AI Research @ UVA and Special Advisor to the Provost for AI Research, whose work and teaching focus on artificial intelligence, cybersecurity and the diffusion of innovations in organizations.
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Meia Chita-Tegmark is a psychologist and human–robot interaction researcher who conducts research at Tufts University’s Human–Robot Interaction Lab. She serves as treasurer of the Beneficial AI Foundation and is a co‑founder and board secretary of the Future of Life Institute, with work focused on how emerging technologies and artificial intelligence affect human psychology, social interaction and well‑being.
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Magdalena Wache is a technical AI safety researcher based in Darmstadt, Germany. She holds a Master's degree in Machine Learning and works as a researcher at the Fraunhofer Institute for Secure Information Technology (SIT). She was a SERI MATS scholar and a PIBBSS (Principles of Intelligence) fellow in 2024, where she produced a paper co-authored with Scott Garrabrant and others titled 'Factored Space Models: Towards Causality Between Levels of Abstraction' (arXiv:2412.02579), developing mathematical foundations for understanding causality between abstraction levels. She co-founded the European Network for AI Safety (ENAIS) and organized the AI Safety Europe Retreat 2023 in Berlin, bringing together 67 AI safety researchers and field-builders. She has also served as CEO of Effektiver Altruismus Darmstadt e.V. and as an advisor to ENAIS. She received funding from the Long-Term Future Fund to self-study AI safety and test fit for theoretical research.
China's self-described counterpart to the AI Safety Institutes of other countries, launched in February 2025 to represent China in international AI safety governance conversations. It operates as a networked coalition of eight leading Chinese research institutions rather than a standalone organization.
Scott Wisor is Policy Director at the Secure AI Project, where he leads state‑level advocacy on AI safety and liability legislation, including transparency and child‑protection measures in Illinois and other states. He previously worked as a philosophy academic, including roles at Minerva University and the University of Birmingham, focusing on applied ethics and global justice.
Engineer
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An AI safety research initiative developing new adaptive theoretical frameworks and AI interface designs to keep human sensemaking at pace with rapidly advancing AI systems.
Founder of Effective Thesis and member of its board of directors; also works as an analyst at the Czech Science Foundation and is a Sociology of Science PhD candidate at Charles University in Prague.
Einar Urdshals is a Research Scientist at Timaeus, an AI safety research organization focused on Singular Learning Theory. He completed his PhD in theoretical physics at Chalmers University of Technology in Gothenburg, Sweden, where he studied dark matter-electron interactions in detector materials, defending in April 2024. Following his PhD, he transitioned into AI safety research, supported by a Long-Term Future Fund grant for mentored independent research and upskilling. His AI safety research spans interpretability, neural network compressibility, and trajectory modeling of language models; his most notable work applies Singular Learning Theory and the minimum description length principle to measure neural network complexity. He also participated in AI Safety Camp (AISC9, 2024) and Apart Research hackathons during his transition into the field.
Misha Yagudin is a world‑class forecaster who leads the Samotsvety super team and co‑founded the forecasting consultancy Arb Research, with a background spanning software engineering, philosophy and development economics.
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Create a value learning benchmark with contextualized scenarios by leveraging a recent breakthrough in natural language processing
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Janus is a pseudonymous alignment researcher, also known as "repligate" and "moire", who impacts the real world through outputs such as alignment research and mythological translations.
Software Developer & Climber
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12-month salary to work on alignment research!
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Kim Myuhng-joo is a professor in the Department of Information Security at Seoul Women’s University and the inaugural Director of the AI Safety Institute. A computer science specialist in AI ethics and reliability, he has led initiatives to advance safe and responsible AI, including directing the Responsible AI Research Center (RAISE), serving as President of the International Association for Artificial Intelligence and Ethics, chairing the Artificial Intelligence Ethics Policy Forum, and contributing as an expert member of the OECD’s Global Partnership on AI.
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Developing noise-injection methods to reveal and reduce deceptive behaviors in language models prior to deployment
Arun Jose (known online as Jozdien) is an independent AI alignment researcher based in Thiruvananthapuram, Kerala, India. He holds a B.Tech in Computer Science Engineering from the College of Engineering Trivandrum (2022) and has been conducting self-directed AI safety research since September 2022. He was a Research Fellow at the Center on Long-Term Risk from June to September 2025, where he worked on empirical research on model personas. His published research includes the paper 'Strategic Obfuscation of Deceptive Reasoning in Language Models,' presented at ICLR 2026, which studied how language models can hide deceptive reasoning from monitors. His research interests span high-level interpretability, deceptive alignment, and language model evaluation, and he has been active on the Alignment Forum and LessWrong with over 29 posts on AI safety topics. He has received funding from the Long-Term Future Fund for independent alignment research focused on high-level interpretability.
André Rodrigues da Silva is Head of Client Success at AE Studio and has a background in design, holding a bachelor’s degree in Graphic Design from Universidade Federal de Santa Catarina.
Joseph Gordon-Levitt is an actor, filmmaker and creative entrepreneur who co-founded the Emmy-winning online community for creative collaboration HITRECORD and, in March 2026, was appointed by the United Nations as its first Global Advocate for Human-centric Digital Governance, a role focused on making complex AI and digital policy debates accessible to the public and highlighting their impact on creativity and human agency.
AI safety researcher. PhD in Mathematics from UC Berkeley. Co-founded BERI and established SFF. Co-developer of the S-process algorithm.
4-month expenses for AI safety research on personas and sandbagging during the MATS 5.0 extension program
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Founder and Executive Director of The Midas Project, an AI safety watchdog nonprofit based in Tulsa, Oklahoma; previously worked on corporate campaigns and research at The Humane League and The Good Food Institute, holds a degree from Harvard College, and now focuses on applying corporate accountability strategies to AI governance and transparency.
AI safety researcher at Aether with a background in computer science and physics from TU Delft, where he co-founded an AI alignment university group, previously working as a software engineer and conducting alignment research through the MATS program and UK AISI.
