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Clear filtersLuke 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.
Showing 2801-2850 of 3285 results
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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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Nonprofit leader and co-founder of the Buddhism & AI Initiative; formerly Director of Digital Strategy at the Mind & Life Institute and a digital strategist there, with a master’s degree in Contemplative Religious Studies from Naropa University.
Board Member at the Transformative Futures Institute and PhD student working on trustworthy AI at Max-Planck/ETH Zurich, with master’s degrees in Mathematics and Technology Policy and experience as a Superforecaster with Good Judgment Inc.
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Benedict Macon-Cooney is Chief AI & Innovation Officer at the Tony Blair Institute for Global Change, where he leads work on economic and technology policy with a focus on artificial intelligence, biotech and clean tech. He previously served as the Institute’s chief policy strategist and has a background as an economist at HM Treasury and as an adviser working in leaders’ offices in countries including Rwanda, shaping major reports such as A New National Purpose on science, technology and AI.
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Janus (also known as Egr. janus, repligate, and moire) is a pseudonymous AI alignment researcher whose work focuses on understanding large language models as simulators and exploring human–AI symbiosis. They have written influential posts such as "Simulators" and "Mysteries of mode collapse," curate the generative.ink publishing platform, created the cyborgism.wiki knowledge base, and are listed as a founding member of Conjecture and an admin of the EleutherAI Discord.
Johnny Lin is an interpretability researcher and engineer at Decode Research, best known as the creator and lead developer of Neuronpedia, an open-source platform for exploring and steering the internals of language models. He previously worked as an Apple engineer and co-founded the privacy app company Lockdown Privacy, and has written and co-authored work on sparse autoencoders and benchmarks such as SAEBench that use Neuronpedia and SAELens to study model features and circuits.
Chief Product Officer at Gray Swan AI, serving on the company’s leadership team.
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AI expert, project manager, artist
Head of Cyber Security at Heron AI Security Initiative with over six years of security research experience in IoT, robotics, malware, and AI security.
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Daniel Hnyk is VP of Engineering at FutureSearch. He holds an MSc in Mathematics and Computer Science from the Czech Technical University and previously served as Director of Engineering at GWI and later at Metaculus, along with engineering roles for several EA-aligned NGOs.
Aaron Ginn is a co-founder of the Foundation for American Innovation and a former member of its board. He is co-founder and CEO of Hydra Host, an AI infrastructure company, and previously led growth product management at Everlane and StumbleUpon and worked on Mitt Romney’s 2012 presidential campaign.
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Founder, Luthien. I want to put AI Control into production quickly.
Adelin Kassler is an AI safety researcher based in the Greater Boston area, focusing on detecting and mitigating deceptive behavior in large language models. She was a PhD candidate in Bioinformatics and Integrative Genomics at Harvard University under advisor Debora Marks, where she worked on machine learning tools for protein design and genomics, ultimately graduating with a master's degree after qualifying for the PhD program in order to pursue AI safety research. Prior to that she held research positions at the Alkes Price Lab at Harvard School of Public Health and at the Hilary Finucane Lab at the Broad Institute of MIT and Harvard. She participated in the ML Alignment & Theory Scholars (MATS) program under Evan Hubinger at Anthropic. Her key AI safety contribution is the paper "Getting Models Drunk: Noise Injection Reveals Backdoor Behavior in LLM Sleeper Agents" (co-authored with Evan Hubinger, 2024), which develops weight-noise-injection as a method to surface hidden deceptive behaviors in language models prior to deployment. This work was supported by a grant from the Long-Term Future Fund.
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Ampdot, also known online as AmplifiedAmp, is a developer and alignment experimenter who created the Act I research project on the Cyborgism Discord. The project is funded through Manifund and uses ampdot’s Chapter II system to run multiple large language models in a shared Discord server where AIs and humans interact as coequal participants to explore emergent behavior in multi-agent human–AI systems.