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Clear filtersAmy Labenz serves on LASST’s board of directors and works as a director at the Centre for Effective Altruism, where she has previously served as general counsel. Before joining CEA she worked as a civil rights attorney in Detroit and as chief compliance officer and chief operating officer at the Machine Intelligence Research Institute, and she is a graduate of New York University School of Law.
Funding gap to pay for a video editor and scriptwriter
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Brad Rogers Carson is an American lawyer and public servant who represented Oklahoma’s 2nd congressional district in the U.S. House of Representatives from 2001 to 2005 and later served as General Counsel and then Under Secretary of the Army, as well as Acting Under Secretary of Defense for Personnel and Readiness. He subsequently became the 21st president of the University of Tulsa and has since moved into leadership in AI policy advocacy and governance.
Bryce Meyer is a software engineer and the primary maintainer of TransformerLens, the leading open-source library for mechanistic interpretability research on GPT-style language models. TransformerLens was originally created by Neel Nanda and allows researchers to load 50+ open-source language models and inspect their internal activations, making it the de facto standard tool for mechanistic interpretability work at organizations including Anthropic, Meta Research, Redwood Research, and Apollo Research. Meyer has maintained the library with a track record of consistent contributions, rapid iteration to support newly released models, and active community support via a weekly live-coding stream in the Open Source Mechanistic Interpretability Slack. He received a $50,000 grant from the Long-Term Future Fund in 2023 to build and enhance open-source mechanistic interpretability tooling, followed by a $90,000 year-long LTFF stipend to serve as TransformerLens's primary maintainer. He is also the president of Pomelo Productions, an independent software development studio based in Milwaukee, Wisconsin, and a self-taught developer with many years of professional engineering experience.
6-month stipend to continue independent AI alignment research from MATS 5.0 on situational awareness and deception
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Independent AI safety researcher investigating structural failure modes in agentic systems, including logic-layer escapes and governance enforcement. Developer of EasyStreet / AEGIS-ALD-W1, a deterministic, audit-grade evaluation framework for AI agents.
Co-founder and CEO of Noya, a direct air capture company aiming to reverse climate change by pulling CO2 from the atmosphere; he studied Chemical‑Biological Engineering at MIT and previously worked as a project manager at Tesla and Harley‑Davidson.
AI alignment researcher who has collaborated with Orthogonal on the QACI formal-goal alignment agenda, co-authoring the “formalizing the QACI alignment formal-goal” article.
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JJ Hepburn is the founder of Ashgro and previously worked as a facilitator at AI Safety Camp; he has training in machine learning with TensorFlow on Google Cloud Platform and studied at Macquarie University and the Australian National University.
A remote, non-profit research group focused on mechanistic interpretability of deep learning models, developing causal abstraction frameworks, open-source course materials, and mentorship programs for the AI safety community.
Director at SL5 Task Force, prev Research Lead at MIRI Technical Governance Team
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An Ivy League research university in Philadelphia with multiple programs relevant to AI safety, including formal verification of autonomous systems, AI governance research, and AGI international security analysis.
AI RnD Lead and Research Supervisor, Writer, Composer
The University of Maryland, College Park is a flagship public research university conducting extensive AI safety, trustworthy AI, and responsible AI research through multiple interdisciplinary institutes and centers.
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A program within EURAIO (European Responsible Artificial Intelligence Office) that convenes expert summits and develops frameworks to address AI-driven psychological manipulation and protect civil liberties from autonomy-eroding AI systems.
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Funding for (academic/technical) AI safety community events in London
COO of The AI Futures Project (the team that wrote AI 2027). All opinions expressed are my own, as are any grants.
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Johannes C. Mayer is an independent AI alignment researcher and game developer who has dedicated his career to addressing AI existential risk. He participates in the AI safety research community through LessWrong and the AI Alignment Forum, where he has published over 76 posts on topics including structural approaches to alignment, computational models of intelligence, and world model interpretability. He completed the MATS Summer 2022 cohort under the mentorship of Evan Hubinger, and has served as a mentor for the Supervised Program for Alignment Research (SPAR) at UC Berkeley. His research agenda focuses on translating intuitive concepts such as goals, wanting, and abilities into formal computational frameworks, and on constraining AI reasoning processes structurally rather than purely specifying outcome-level objectives. He received a grant from the Long-Term Future Fund to pursue this research on turning intuitions about intelligence into concepts applicable to computational systems.
A hardware security startup developing tamper-proof enclosures for AI chips to prevent physical attacks on AI hardware and enable international AI governance through verifiable compliance mechanisms.
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Tim Farrelly is a founder and engineer based in Dublin, Ireland. He studied Computer Engineering at Trinity College Dublin and previously conducted AI safety research with academics at Oxford and Trinity College Dublin, focusing on cooperative AI and multi-agent systems. He co-founded Field of Vision, a company that creates haptic devices to help visually impaired sports fans experience live games, which was featured in Time Magazine's Best Inventions. He also co-founded Patch, an initiative supporting talented Irish youth, and Hack Ireland/Hack Europe, Ireland's largest student hackathon. He has received a grant from the Long-Term Future Fund for equipment to improve productivity while pursuing AI safety research, and his personal website states he is refocusing his energy on AI safety work.
Aric Floyd is the on‑camera host of AI In Context, the YouTube channel produced by 80,000 Hours that uses long‑form documentary‑style videos to explain transformative AI and its risks. He joined 80,000 Hours in 2025 as an Associate Video Producer after previously working as a film and television actor based in Los Angeles while on extended leave from undergraduate physics studies at Stanford University.
Peter Mühlbacher is a founding research scientist at FutureSearch. He holds a PhD in Mathematics from the University of Warwick and previously worked as a research scientist at Metaculus and as a risk analyst at UniCredit Bank Austria.
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Strategy advisor to EA Hungary and AI Safety Hungary, supporting organisational strategy and operations for their EA and AI safety field-building projects.
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Making AI safety & security scalable
Events and partnerships professional working on AI governance initiatives; Events and Partnerships Lead at Intelligence Rising, also a facilitator at Technology Strategy Roleplay, and previously Chief of Staff to a senior AI policy practitioner with appointments at OECD.AI, PECC (France), UNESCO and the Global Partnership on AI.
Anastasiia Gaidashenko is a Project Manager in the Office of the CEO at FAR.AI and previously worked as a Technical Program Manager and Data Scientist on responsible AI governance and applied machine learning.
Linh (Kid) Nguyen is an AI/ML engineer and researcher based in Silicon Valley, serving as Head of AI at the design platform Obello, a Google Developer Expert in AI/ML, and Research Manager for AI Safety Vietnam (antoan.ai), where they lead technical AI safety education and research projects.
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Alexander Matt Turner, known online as TurnTrout, is a research scientist at Google DeepMind on the Scalable Alignment team, based in Berkeley, California. He earned his PhD in computer science from Oregon State University (2016–2022) under advisor Prasad Tadepalli, followed by a postdoc at UC Berkeley's Center for Human-Compatible AI (CHAI) from 2022 to 2023. His research spans several key areas of AI alignment: he developed Attainable Utility Preservation (AUP), a framework for low-impact AI; proved mathematically that optimal policies tend to seek power, published as a NeurIPS 2021 spotlight paper; co-developed shard theory (with Quintin Pope), a framework modeling AI and human values as situationally activated goal components; and pioneered activation engineering and steering vectors for controlling model behavior at inference time. At Google DeepMind, his current work includes consistency training to reduce sycophancy and jailbreaks in Gemini models. He is also a MATS mentor through his Team Shard program, supporting junior alignment researchers.
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MSDS @ UCSD
Project Director at AI Plans, a platform leading research and events in AI alignment and safety.
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