Database

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A leading AI podcast hosted by Nathan Labenz that interviews AI builders, researchers, and investors to help leaders make sense of transformative developments in artificial intelligence.

Designer and researcher leading the Autostructures project with Groundless and co-developing the Soloware Platform, focusing on fluid interfaces and craftsmanship for AI-era sensemaking.

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Proud holder of first place on the inverse Manifold profit leaderboard.

Engineer at Google

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The AI & Democracy Foundation accelerates innovation, evaluation, and adoption of deliberative, democratic, human-centered governance and alignment systems for and with AI, serving as both a nonprofit funder and advisor to philanthropic organizations, AI companies, civil society, and governments.

A public evidence package for testing whether LLMs only sound epistemically reliable

Co-Founder @ Seldon

Postdoc at Northeastern University

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Japan's national AI Safety Institute (J-AISI), established within IPA under METI, develops AI safety evaluation methodologies and standards and serves as a hub for domestic and international AI safety coordination.

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CIGI is an independent, non-partisan Canadian think tank that produces research and policy recommendations on international governance challenges, with a dedicated program focused on managing global-scale risks from advanced AI systems.

Daniel Herrmann is an Assistant Professor in the Department of Philosophy at the University of North Carolina at Chapel Hill, where he is also Core Faculty in the Philosophy, Politics, and Economics program. He holds a PhD in Logic and Philosophy of Science from the University of California, Irvine, and conducted postdoctoral research at the University of Groningen. His research specializes in decision theory, formal epistemology, and the philosophy of artificial intelligence, with a focus on mathematical and computational models of optimal reasoning and learning as applied to artificial agents and self-reasoning systems. He was a fellow at PIBBSS (Program for Integrated Research in Alignment), and received funding from the Long-Term Future Fund to support the final year of his PhD research on embedded agency, a core topic in AI alignment concerning how agents reason about themselves as part of the world they act in. His work on the Alignment Forum includes co-authored research on subjective naturalism in decision theory and puzzles related to wireheading and utility functions for embedded agents.

An umbrella organization for applied mathematics research in AI alignment, now operating under the name Iliad. Organizes the ILIAD conference series, runs fellowship and intensive programs, incubates research organizations, and manages scientific publishing.

I'm writing a research paper that introduces an instruction-following generalization benchmark and I need compute funds

Susan Etlinger is a senior fellow at CIGI and Director of AI and Innovation at Microsoft, where she leads work on the business and societal impacts of artificial intelligence, data and technology ethics.

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William Wang is a Professor in the Department of Computer Science at the University of California, Santa Barbara, the Mellichamp Endowed Chair in Mind and Machine Intelligence, Director of UC Santa Barbara’s Natural Language Processing Group, and the founding Director of the Center for Responsible Machine Learning.

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Jay Bailey is a former software engineer from Brisbane, Australia who transitioned into AI safety research after several years working in software. He participated in the SERI MATS Summer 2022 cohort, studying mechanistic interpretability under Neel Nanda, and subsequently received grants to upskill in ML for AI safety and to collaborate with Joseph Bloom on the Decision Transformer Interpretability project, co-authoring work on feature representations in memory-augmented gridworld agents. After struggling with direct research contributions, he leveraged his engineering background to accelerate his collaborator's research. Recognizing a stronger theory of change in evaluations as governments and labs committed to AI red-teaming, he joined the UK AI Safety Institute (AISI) as a Research Engineer, spending approximately 18 months doing frontier LLM evaluation. He currently works at Arcadia Impact as Head of Technology and Standards, where he contributes to technical AI safety efforts and supports researchers transitioning into the field.

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6-month salary to build experience in AI interpretability research before PhD applications

Support for living expenses while doing PhD in AI safety - technical research and community building work

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Paula Quigley is a Community Researcher with the Ada Lovelace Institute, working with communities to explore public perspectives on artificial intelligence and its societal impacts. She designs and facilitates workshops that bring diverse and underrepresented voices into AI policy conversations and governance, drawing on senior leadership experience across housing, social enterprise and community development in Northern Ireland.

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Developing the software infrastructure to make AI systems safe, with formal guarantees

Community member bio

Machine learning PhD student at the University of Oxford whose research focuses on reasoning, multi-agent systems, post-training and AI safety, and a co-author on work with Contramont Research on cryptographic backdoors in language models accepted at NeurIPS 2024.

Heron co-founder and senior AI security and policy researcher at the Institute for AI Policy and Strategy (IAPS).

Shane Tews is a nonresident senior fellow at the American Enterprise Institute, where she focuses on cybersecurity, internet governance, and technology and innovation policy, and president of Logan Circle Strategies, advising clients on global public policy for information and communications technologies.

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David Quarel is a PhD student at the Australian National University (ANU), supervised by Marcus Hutter, where he researches AI safety, Universal Artificial Intelligence, and Mechanistic Interpretability. He holds a BSc in Physics and Mathematics and an MComp specialising in AI and Machine Learning. He co-authored the textbook "An Introduction to Universal Artificial Intelligence" (Routledge, 2024) alongside Marcus Hutter and Elliot Catt. Quarel serves as Head TA at ARENA, an AI safety education programme run by the London Initiative for Safe AI (LISA), where he develops course content and teaches technical AI safety topics. He previously worked as a research assistant at the Krueger AI Safety Lab (KASL) at the University of Cambridge, and received funding to support that residency period. He has several years of teaching experience at ANU across mathematics, theoretical computer science, and digital hardware design.

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French-American computer scientist and pioneer of deep learning; Turing Award laureate and professor at New York University, known for work in artificial intelligence, machine learning, computer vision, robotics and image compression.