Database

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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Co-Founder and Growth lead at Heron AI Security Initiative, helping build a community of world-class cybersecurity experts working on high-leverage frontier AI security challenges.

Senior Lecturer in Information Technology at Deakin University whose research focuses on data mining, privacy-preserving analytics, anomaly detection and related areas, and who is listed as a member of the Australian Responsible Autonomous Agents Collective (ARAAC).

Jamie Bernardi (full name James Bernardi) is an AI safety researcher and policy professional based in London, UK. He studied Physical Natural Sciences (MSci Physics) at St John's College, Cambridge (2015-2019), then worked as a machine learning engineer at Audio Analytic (2019-2021), a sound recognition company later acquired by Meta. In 2021-2022 he worked as an independent researcher in collaboration with Oxford's Future of Humanity Institute, designing a pessimistic reinforcement learning algorithm intended to improve AI safety by having the system ask for human help when uncertain about potential harms. He co-founded BlueDot Impact in August 2022, an education charity running the AI Safety Fundamentals courses that have introduced thousands of ML engineers, policymakers, and students to AI safety and governance. After serving as a GovAI Winter Fellow and IAPS Fellow focused on AI policy and societal adaptation to advanced AI, he joined the UK AI Security Institute (AISI), where he works on strategic awareness. He has contributed to UK policymaking on AI regulation and international AI governance efforts.

Cambodian computer scientist and technology leader with around two decades of experience in data and artificial intelligence, former Google AI programme lead and current Head of Data and AI Ecosystems at the World Economic Forum, who co-founded and serves as Executive Director of AI Safety Asia while advising the UN Secretary-General’s High-Level Advisory Body on Artificial Intelligence.

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Effective altruist who works on worse-than-extinction outcomes from AI

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Nick Bostrom is a Swedish-born philosopher known for his work on existential risk and the long-term future of humanity. He was Professor of Philosophy at the University of Oxford and founding Director of the Future of Humanity Institute from 2005 until its closure in 2024, and is now the founder and principal researcher at the nonprofit Macrostrategy Research Initiative.

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Sofia Lanfri is a data scientist and research program manager with experience in geospatial and epidemiological analysis. She serves as Program Director at the Beneficial AI Foundation and coordinates BAIF’s involvement in Signal Shot and other AI safety projects.

Writer-researcher at Convergence Analysis

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Orpheus Lummis is a software developer and community organizer based in Montréal, Canada, focused on advancing AI safety through convenings, coordination, and software. He is the founder of HΩ (Horizon Omega), a Canadian non-profit that runs the AI Safety Unconference series, the Guaranteed Safe AI Seminars, and a weekly AI Safety Events and Training newsletter. He has organized multiple editions of the AI Safety Unconference, including events co-located with NeurIPS and a fully virtual edition in 2024, and organized the Limits to Control Workshop in 2025. He has received funding from the Long-Term Future Fund for upskilling in AI techniques, deep reinforcement learning, and AI safety, and engaged with David Krueger's AI safety reading group at Mila. He is a software engineer generalist with specialties in distributed systems and machine learning, and was a core contributor to DefraDB, a decentralized user-centric database.

AI/AI safety Researcher.

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Director of the UC Berkeley Cybersecurity Clinic and lecturer at the School of Information, Elijah Baucom is a cybersecurity and privacy technologist, engineer, and activist focused on the intersection of technology, humanity, liberation, and political education; through the clinic he teaches and trains students to consult with and support social‑sector organizations that are particularly susceptible to ideologically motivated cyber attacks, and he is also the founder of Everyday Security, which provides cybersecurity and IT support to human rights and movement organizations.

Founder of PauseAI, CEO of Ontola.io

Technical Program Manager at the Technical Alignment Research Accelerator (TARA) and Master of AI student at UNSW, with a background including a Bachelor of Science in Mathematical Physics and a Diploma in Music from the University of Melbourne, completion of TARA v1 with a capstone project on causal interventions on a chess model, acceptance into the SPAR program, leadership roles in Effective Altruism University of Melbourne, and work on AI-focused education seminars.

Alex Flint is an independent AI alignment researcher and monastic. He completed his PhD with the Active Vision Lab at the University of Oxford (2008-2012) in robotics and computer vision on a Clarendon Fund scholarship, following undergraduate studies in computer science at the University of Adelaide. After his PhD he led computer vision engineering at Flyby Media in New York City, then co-founded Zippy.ai, a robotics startup focused on last-mile delivery, which was acquired by Cruise (GM's autonomous vehicle division) in 2018. He subsequently left industry to pursue independent AI alignment research and is affiliated with the Monastic Academy for the Preservation of Life on Earth in Vermont. His alignment research focuses on foundational theories of optimization, knowledge, and agency, including a widely cited post "The ground of optimization" selected as Best of LessWrong 2020. He has received funding from the Long-Term Future Fund for independent research and is active on LessWrong and the AI Alignment Forum.

Ben Hoffman has worked as a researcher for GiveWell and the Open Philanthropy Project and in financial services managing a risk analytics team, and he holds an MS in Mathematics and Statistics from Georgetown University and a BA from St John’s College.

Buck Shlegeris is the CEO of Redwood Research, a nonprofit AI safety and security lab, where he leads work on AI control and related empirical safety research; he previously worked on AI alignment and outreach at the Machine Intelligence Research Institute (MIRI).

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Lorenzo is a full‑stack software engineer at Giving What We Can, supporting product development and maintaining the organisation’s technical infrastructure. Originally from Italy, he previously did small‑scale earning to give as a software developer in the Netherlands and, after winning a donor lottery in 2022, moved back to Italy to reflect on how to do more good.

Researcher at the Machine Intelligence Research Institute working on the foundations of reasoning and agency, including logical uncertainty and decision theory; studied pure mathematics at the University of Waterloo and previously worked at Google on automatic construction of deep learning models.

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