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Fang Chen, Distinguished Professor Board Director
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Clear filters to view everything →Exec Assistant @ EA UK
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Daniel O'Connell is the CTO and co-founder of Equistamp, a Public Benefit Corporation that provides research operations for AI safety organizations. Equistamp grew out of Rob Miles' AI safety Discord community and was established in late 2023. O'Connell, a UK citizen, has contributed to AI safety evaluation infrastructure for organizations including METR, the UK AI Security Institute, and Redwood Research. He co-authored the HCAST (Human-Calibrated Autonomy Software Tasks) benchmark paper, which provides a set of 189 machine learning engineering, cybersecurity, software engineering, and general reasoning tasks for evaluating AI autonomy. His work focuses on evaluation implementation, task quality assurance, and baselining for frontier AI models.
Independent researcher working on foundational models of large language model behaviour and alignment. My work focuses on mechanistic explanations of hallucination, coherence, and failure modes using systems theory, information theory, and learning dynamics. I am currently developing a boundary-mediated framework for understanding inference and learning in LLMs, with an emphasis on testable predictions and alignment-relevant design patterns.
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Founder @ Nisit Sam Yan | Empowering Youth Through Publishing | Trying to be a Good Ancestor
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AI safety researcher who runs AI Lab Watch, where he collects safety recommendations for frontier AI companies, tracks what they are doing, evaluates them on safety, maintains related information collections, and blogs about how companies can prevent extreme risks such as AI takeover and human extinction.
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Co-founder and President of Safe Superintelligence Inc., also serving as Co-founder and Principal Scientist, and previously a member of technical staff at OpenAI.
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Member of Technical Staff at AI Digest, working on the organization’s interactive AI explainers and demos including projects like the AI Village.
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Richard Higgins is a researcher at Softmax with a PhD from the University of Michigan whose work spans compositional image editing with latent diffusion (ICCV 2025), hand–object segmentation in video (CVPR 2023, NeurIPS 2021), and solar magnetic field estimation; he has previously been a visiting academic at NYU Courant and a computer vision research intern at Meta.
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Senior researcher whose work at ACS focuses on understanding the civilisational ramifications of powerful AI systems and developing better accounts of how agency works in AI systems, alongside a research affiliation with the University of Toronto computer science department and contributions to the 2026 International AI Safety Report.
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Curriculum Developer & Instructor at the Center for Applied Rationality. Davis has been involved with CFAR since early 2014 in operations, finance, curriculum development, and teaching, and also has experience as a competitive tabletop gamer, commentator, and writer, with a bachelor’s degree in psychology from Carleton College.
Arkose is a field-building nonprofit that supports mid-career ML professionals to enter the field of AI safety.
Thomas Kwa is a researcher on the technical staff at METR (Model Evaluation & Threat Research), where he focuses on measuring AI capabilities and autonomous task completion. He holds a Computer Science degree from Caltech and previously worked at MIRI and conducted interpretability research through the MATS/SERI MATS program with Adrià Garriga-Alonso and Jason Gross. He is the lead author of the influential METR paper introducing the '50% time horizon' metric—the length of tasks AI models can complete autonomously with 50% probability—which found this metric has been doubling roughly every seven months. He also co-authored 'Catastrophic Goodhart,' a 2024 paper demonstrating that KL divergence regularization in RLHF fails to prevent reward hacking under heavy-tailed reward misspecification, presented at ICML and NeurIPS 2024. Thomas is an active contributor to LessWrong and the AI Alignment Forum, where he publishes research on interpretability, Goodhart's Law, and AI safety methodology.
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Matt Clifford CBE is cofounder and Chair of Entrepreneurs First, a global talent investor, and serves as Chair of ARIA, the UK’s Advanced Research and Invention Agency. He also plays a leading role in UK AI policy, including work on the AI Safety Summit and the UK AI Safety Institute.
Clark Wisenbaker is Operations Manager at Macroscopic Ventures, managing the organization’s operational systems after previously holding various leadership roles at other nonprofits and for-profit startups and working as a practicing attorney.
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Applying experience from mechanistic interpretability of genetic networks to neural networks
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Patrick Udeh is a programs and partnerships professional based in Lagos, Nigeria, with experience in startup and technology ecosystems. He has worked as Programs and Partnerships Manager at Kuvora and previously held roles at organizations including the International Association for Safe & Ethical AI, Ctrl+C Academy and Meta, alongside hands-on work on AI data annotation projects that support machine learning initiatives and product development.
Rajashree Agrawal is a machine learning research engineer and co‑founder of Theorem, where she leads work on training AI models that power the company’s formal verification pipeline; her background spans machine learning, programming languages, and AI safety research, including participation in programs like MATS.
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Director of Sage, the nonprofit that runs AI Digest, where he leads work on interactive AI explainers and forecasting tools such as Fatebook and Quantified Intuitions. He previously worked as a researcher at Clearer Thinking and was a PhD student in computer science at the University of St Andrews, focusing on tools that help people externalize complex mental models and improve decision-making.
Dr Henry Shevlin is Co‑Director of Education and Programme Co‑Director for Kinds of Intelligence at the Leverhulme Centre for the Future of Intelligence, where he leads the Centre’s education programmes. A philosopher and cognitive scientist by training, his research focuses on consciousness, creative intelligence and anthropomorphism, with a particular emphasis on the emerging cognitive capabilities and ethical implications of large language models and other advanced AI systems.
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Jimena Sofía Viveros Álvarez, LL.M., is an international lawyer and scholar specialising in AI governance, peace and security, and sustainable development in the Global South. She is the managing director and CEO of IQuilibriumAI and president of The HumAIne Foundation, and serves as a member of the UN Secretary‑General’s High‑Level Advisory Body on AI as well as a commissioner of GC‑REAIM, alongside advisory roles in multiple multilateral initiatives on AI and digital governance.
Julia Bossmann is a technologist and AI researcher focused on post-AGI futures and the societal impacts of artificial intelligence. With an academic background in neuroscience, she has worked across AI and startups and held roles at organizations including McKinsey & Company, Bosch Research & Technology, Singularity University, Foresight Institute, and the Human Rights Measurement Initiative, as well as writing widely cited work on ethical issues in AI.
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Software engineer and major contributor at QURI who led the Squiggle language rewrite and development of Squiggle Hub; previously worked on projects like the Kocherga rationalist community space in Moscow and various open-source tools.
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