Database

Events organizer at the Existential Risk Observatory with a degree in geography and prior experience in foresight and operations consulting, supporting the organization’s events.

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Tyrance Billingsley II is the founder and executive director of Black Tech Street, a national initiative based in Tulsa that aims to rebuild Black Wall Street through technology and STEM by cultivating an equitable tech ecosystem for Black entrepreneurs and talent.

Shashwat Goel is a first-year ELLIS PhD student at the ELLIS Institute and Max Planck Institute for Intelligent Systems in Tübingen, Germany, co-advised by Jonas Geiping and Douwe Kiela. He completed a dual degree (B.Tech + M.S.) in Computer Science and Engineering from IIIT Hyderabad (2019–2024) under Prof. Ponnurangam Kumaraguru. His research focuses on evaluation and benchmarking of language models, machine unlearning, and building training environments to improve LLM decision-making. He was a SERI MATS scholar, during which he contributed to the WMDP Benchmark (Weapons of Mass Destruction Proxy), a dataset measuring hazardous knowledge in LLMs and evaluating unlearning methods, published at ICML 2024 and featured in TIME Magazine. He also contributed to the Representation Engineering (RepE) paper on AI transparency, and co-authored work on corrective machine unlearning and evaluating whether unlearning methods truly remove information from model weights. His work on fairness in sequential decision-making won an Outstanding Paper Award at AAAI 2024.

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Stuart Russell is a Distinguished Professor of Computer Science at the University of California, Berkeley, holder of the Smith-Zadeh Chair in Engineering, and director of the Center for Human-Compatible AI and the Kavli Center for Ethics, Science, and the Public. He is co-author of the widely used textbook Artificial Intelligence: A Modern Approach and author of Human Compatible: AI and the Problem of Control, and his research spans many areas of artificial intelligence including probabilistic reasoning, machine learning and long-term AI safety.

Head of Finance at Fifty Years with a background that includes serving as a platoon leader in the Swiss Armed Forces, five years on BCG’s Corporate Finance Task Force, an investing role at EQT, and a decade running finance on the operational side at companies such as Wonderschool.

Mikhail Baranchuk is an AI safety researcher and software engineer currently working in distributed computing at Google. He holds an M.S. in Computer Science from the University of Oxford and a B.Sc. in Statistics and Computer Science from McGill University (Class of 2022). At Oxford, he completed a master's thesis titled "Error Correction for Perfectly Secure Generative Steganography on Arbitrary Covertext" (2023). He is best known for co-authoring "Secret Collusion among AI Agents: Multi-Agent Deception via Steganography," published at NeurIPS 2024, which was the first work to formally investigate secret collusion among frontier foundation models and evaluate steganographic capabilities in multi-agent LLM setups. His research interests include complex systems, multi-agent AI, and AI safety. He has previously worked at Morgan Stanley, National Bank of Canada, and Nuance-Microsoft, and received a grant to further research AI collusion mitigation strategies and develop secure steganographic techniques.

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An AI safety advocacy nonprofit that monitors major AI companies' safety policies and conducts public campaigns to pressure the industry toward greater transparency, accountability, and responsible development practices.

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Timothy Underwood is a self-published fiction author born in Southern California who lives in Budapest, Hungary. He studied early modern history at UC Berkeley and has made a living for years writing Pride and Prejudice fan fiction variations, with popular titles including Mr. Darcy and Mr. Collins's Widow, Colonel Darcy, and A Compromised Compromise. In 2022, he received an ACX grant (from Scott Alexander's ACX Grants program) to fund writing a fantasy novel promoting Effective Altruism. The resulting novel, The Split Summon: Two Souls, One Body, is an isekai/portal fantasy about an effective altruist who dies and wakes up in a fantasy world with magical powers, embedding EA concepts and perspectives into the narrative. He serialized the novel on Royal Road and SpaceBattles forums before publishing it on Amazon, and shared draft chapters with the EA and LessWrong communities for feedback. He is active on LessWrong (username: timothy-underwood-1) and the EA Forum (username: timunderwood).

IIIT Hyderabad is India's first and leading research-focused IIIT, a not-for-profit public-private partnership university specializing in computer science and AI. It hosts the Responsible and Safe AI Systems course, supported by Open Philanthropy, and is a major hub for AI and machine learning research in India.

Rafael Besen is Chief People Officer at AE Studio with a master’s degree in computer science, around 15 years of software development experience, more than a decade in startups and team management, and over five years in customer relationship and product management for B2B and B2C products.

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Ross Graham is a PhD student in the Department of Sociology at the University of California San Diego, where he is also affiliated with the Science Studies program. His research focuses on the sociology and ethics of artificial general intelligence, existential risk, and algorithmic systems. He published a 2021 paper in AI & Society employing inductive discourse analysis of the academic literature on AGI ethics, finding that both scientific and philosophy-adjacent disciplines frame AGI ethics primarily around mitigating existential risk. He co-authored a 2021 study in Big Data & Society on how people make sense of algorithmic contact tracing and risk assessment systems during COVID-19. His dissertation research, supported by a grant covering a 12-month stipend and research fees, examines public ethical attitudes toward existential risk.

Natalia Fedorova is Partnership Manager and AI Research Lead at Palisade Research, where she has worked since 2025 building collaborations around AI safety research. Previously, from 2020 to 2025, she served as Head of Research Partnerships at Toloka, leading research and industry partnerships on AI and data projects.

Wendy Nather is Senior Research Initiatives Director at 1Password and a veteran security leader who previously led advisory CISO programs and research at Duo Security, the Retail ISAC, and 451 Research; she serves on the steering committee of the Institute for Security and Technology’s Ransomware Task Force and on the board of Sightline Security.

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Future Matters is a nonprofit strategy consultancy and think tank based in Berlin that helps organizations working on climate protection, AI governance, and biosecurity create effective policy and social change.

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Founding researcher at Geodesic Research leading pretraining and midtraining safety directions to address dangerous capabilities such as biorisk and offensive cyber, and to instill deeper alignment and character into large language models.

Virtue AI is an AI-native security and compliance platform that helps enterprises secure their AI systems and agents against threats like prompt injection, hallucinations, and data poisoning. It was founded in 2024 by leading AI safety researchers Bo Li, Dawn Song, Carlos Guestrin, and Sanmi Koyejo.

Giuseppe Dal Prá is the Founder and CEO of the Odyssean Institute and a transdisciplinary thinker focused on whole-society transitions to a more resilient and flourishing civilisation. He studied History and Politics at Balliol College, University of Oxford, is a Fellow of the Royal Society of Arts, and has written on preparing democratic institutions for wicked problems and systemic risks such as runaway climate change using deliberative and other antifragile reforms. He also co-authored the ComplexCity proposal, a semi-finalist in the Global Challenges Foundation’s New Shape Prize, which outlined an epistemic democratic platform for citizen-led policy experimentation.

Nathan Lile is a co-founder and CEO of SynthLabs.ai, a research lab focused on improving the reasoning and alignment of frontier AI systems using reinforcement learning from human and AI feedback and synthetic data. He previously worked as a researcher at Stability AI and continues to collaborate with EleutherAI on post-training methods such as RLHF and RLAIF for GPT-NeoX and related large language model projects.([scholar.google.com](https://scholar.google.com/citations?hl=en&user=y6v6c-4AAAAJ))

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Anja Manuel is a co-founder and principal at Rice, Hadley, Gates & Manuel LLC, a strategic consulting firm that helps U.S. companies navigate international markets and geopolitical risk. She is also executive director of the Aspen Strategy Group and Aspen Security Forum and previously served in the U.S. Department of State as special assistant to the under secretary for political affairs, focusing on South Asia policy.

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Wyatt Tessari L'Allié is the Founder and Executive Director of AI Governance and Safety Canada (AIGS Canada), a non-partisan not-for-profit organization based in Ottawa working to ensure advanced AI is safe and beneficial. He moved to Ottawa in October 2021 to build the Canadian AI safety and governance community, consolidating various Canadian AI safety groups into a unified national organization. His background spans mechanical engineering (École Polytechnique de Montréal, 2011), filmmaking (New York Film Academy, 2008), mining and emissions compliance work, and climate advocacy through three electoral campaigns between 2010 and 2015. After learning about AGI and x-risk in 2015, he spent four years researching 21st-century challenges and authored a book on global issue prioritization before transitioning fully to AI governance work. Since 2022, AIGS Canada has made public policy submissions to the Canadian federal government and he has testified before multiple parliamentary committees on AI governance. He received Long-Term Future Fund grants to connect, expand, and enable the AGI safety and governance community in Canada.

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Goodfire is an AI interpretability research lab that builds tools to understand and design the internal mechanisms of neural networks. Their flagship product, Ember, gives engineers direct, programmable access to AI model internals.

Jonathan Ng is a Singapore-based AI safety researcher and engineer currently working as a Project Officer at the Singapore AI Safety Institute (AISI). He completed the SERI MATS 3.1 program (Spring 2023), where he worked with the Cadenza Labs team on extending the 'Discovering Latent Knowledge' paper by contributing to the EleutherAI/elk library, running large-scale hyperparameter sweeps, and conducting original experiments in LLM probing. He holds a BComp in Computer and Information Systems Security from the National University of Singapore (2017-2021). His research includes co-authoring the MACHIAVELLI benchmark (ICML 2023), which measures trade-offs between rewards and ethical behavior in AI agents, and the Catastrophic Cyber Capabilities Benchmark (3CB, AAAI 2025 Workshop). He is also a co-author of CCS-Lib, a Python package for eliciting latent knowledge from LLMs published in the Journal of Open Source Software. Beyond research, Jonathan has been a key organizer of AI safety capacity-building in Singapore, founding the Research Engineering Camp for Alignment Practitioners (RECAP), directing AI Safety Fellowships at NUS and NTU, and serving as an instructor at the ML4Good Singapore bootcamp. He received funding from the Long-Term Future Fund for his early ML alignment skill development and his SERI MATS project.

Nicole Ruiz is a non-resident fellow at the Foundation for American Innovation and director of The Third Oikos, a publication exploring how technology reshapes family life and the household. She is also a visiting fellow at the Institute for Family Studies and previously invested in frontier technology startups at seed stage as a venture capitalist at Compound.

Subhojeet Pramanik is a researcher at Softmax with an MSc from Alberta’s RLAI lab whose work focuses on reinforcement learning and representation learning. He introduced the Recurrent Linear Transformer (AGaLiTe, TMLR 2024), previously worked at IBM Research, and is the author of OmniNet, a unified architecture for multi-modal multi-task learning.

Ondrej Bajgar is a DPhil student in Bayesian machine learning at the University of Oxford, supervised by Michael A. Osborne, Alessandro Abate, and Konstantinos Gatsis. He studied mathematics at the University of Warwick and subsequently spent three years as a Research Scientist at IBM Watson, working on machine learning for text understanding and dialogue systems. He then joined the Future of Humanity Institute at Oxford as a Senior Research Scholar, where he worked on AI safety for approximately two years before beginning his doctorate. His current research focuses on active inverse reinforcement learning, developing methods to align AI decision-making with human preferences by strategically selecting informative demonstrations. He has also published work on negative human rights as a principled framework for long-term AI safety and regulation, co-authored with Jan Hořeňovský in the Journal of Artificial Intelligence Research. He received LTFF funding to support his AI safety PhD at Oxford.

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Technical AI risk analyst at ORCG and systems engineer from Universidad de los Andes, co‑founder of AI Safety Colombia, focusing on advanced AI safety and mechanistic interpretability.

A major Washington, DC-based think tank founded in 1910 that produces independent policy research on international security, democracy, and governance, with a growing program on AI safety and technology governance.

Thomas Moynihan is an intellectual historian and author based in the UK, specialising in the history of ideas about existential risk, extinction, and future-oriented thought. He holds a DPhil from Oriel College, Oxford, where he researched how concerns about human extinction became a serious object of philosophical and scientific inquiry. He is a Research Affiliate at the Centre for the Study of Existential Risk at the University of Cambridge, a Visiting Research Fellow at St Benet's Hall, Oxford, and a Berggruen Fellow at the Berggruen Institute. His 2020 book X-Risk: How Humanity Discovered Its Own Extinction (MIT Press/Urbanomic) traces the intellectual history of existential risk from the Enlightenment to the present day. He received a Long-Term Future Fund grant to write a book on the philosophy and history of longtermist thinking, which is forthcoming as The History of Contingency and Future-Oriented Thought (Cambridge University Press, 2026). His writing has appeared in BBC Future, The Guardian, Aeon, Noema Magazine, New Scientist, and other publications.