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Clear filtersDoug Lorenzen is CFO at AE Studio and brings over two decades of experience building and financing high-growth ventures, including co-founding Open English, serving on the founding team of Talespin, and acting as a venture partner at Moore Venture Partners and Awaken Capital.
Charles Martinet is Head of Policy at CeSIA and a researcher at the Oxford Martin AI Governance Initiative, where he works on AI risk management, international cooperation, and institutional frameworks for governing advanced AI systems.
Head of AI Safety Evaluations at ILINA and a Researcher at the University of Cape Town African Hub on AI Safety, Peace, and Security, where she works on Africa‑centric model safety evaluations; she previously researched the persuasive capabilities of large language models and holds a psychology degree from United States International University‑Africa.
Carson Ezell is an AI governance and policy researcher affiliated with RAND Corporation and Harvard University. He is an undergraduate in Statistics at Harvard College (on leave) and has published widely on AI regulation and governance, including co-authoring papers on regulatory capture in AI policy, visibility and oversight of AI agents, FDA-style approval regulation for frontier AI, and incident analysis for AI agents. His research examines how AI companies attempt to influence the regulatory process and proposes systemic measures to mitigate industry capture of AI governance. Ezell has published through RAND, AIES (the AAAI/ACM Conference on AI, Ethics, and Society), and FAccT. He received a Long-Term Future Fund grant in 2023 to conduct research projects on AI governance and strategy, with a focus on engaging with AI lab governance teams to identify unsolved problems. He identifies as an Effective Altruist focused on existential risk reduction.
Sam Uhr is the Chief Executive Officer of Millennial Holdings, a New Jersey–based real estate investment company focused on uncovering opportunities through analysis of economic trends, cash flows, and value-add potential.
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Morgan Simpson is an AI governance researcher and Research Manager at Pivotal Research, a London-based organization running mentored AI safety and governance research fellowships. Based in London, Simpson has approximately three years of experience in AI governance research and has co-authored multiple policy papers through the Oxford Martin AI Governance Initiative, including work on voluntary industry initiatives in frontier AI governance, what should be internationalised in AI governance, model access governance, and UK AI security liability. Simpson has received funding from the AI Risk Mitigation Fund, including a grant to produce two white papers on AI safety infrastructure and legal instruments for containing technical knowledge, produced in collaboration with UCLA Professor Robert Trager. Simpson also published a widely-read guide on research management pitfalls on the EA Forum in January 2025.
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Yashika Begwani is a Contributing Writer for IndiaAI and the founder-CEO of Voice of Achievers, with a background in audio content, communications, and content strategy.
Founder of Briico, an innovative startup helping migrants start microbusinesses.
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Julie Guirado is the executive director of the Center for Humane Technology, leading the organization’s strategic direction and scaling its impact across research, media, and policy. She previously served as CHT’s chief operating officer and has led finance and operations teams across nonprofit, for‑profit, and entrepreneurial ventures after studying at ESSEC and in organizational psychology at Harvard.
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AI Safety Researcher and Independent Theorist specialising in Cybernetic Resonance Idealism (CRI). Lead at the Worcester Node, focusing on the formalisation of Inverted Social Drift ($SD$) metrics for the pre-emptive detection of agentic logic escapes. Dedicated to the development of truth-based AI models and the establishment of sovereign, infrastructure.
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Final-year PhD student in Computer Science (EECS) at MIT in the Algorithmic Alignment Group advised by Dylan Hadfield-Menell, working on technical AI safeguards and governance, including red-teaming, robustness, interpretability, and audits of large models.
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Noemi Dreksler is a Senior Research Fellow at the Centre for the Governance of AI (GovAI), based in Oxford, UK. She holds a DPhil in Experimental Psychology from the University of Oxford (2015-2020), an MSc in Industrial/Organisational and Business Psychology from University College London (Distinction), and a BA in Psychology and Philosophy from Oxford (First-Class Honours). At GovAI, she leads the survey research program, which has produced influential studies on AI researchers' views on AI progress and governance, economists' perspectives on AI and economic growth, public attitudes toward AI, local US policymakers' views on AI regulation, and frontier AI companies' safety frameworks. Her recent work includes a survey of AI researchers on beliefs about AI subjective experience and a large-scale study of over 13,000 people across multiple countries on AI risk management practices. She received a two-year grant to run public and expert surveys on AI governance and forecasting, directly supporting GovAI's core mission of developing evidence-based AI policy.
I help people use AI tools, like Claude Code, to automate knowledge work.
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Oliver Zhang is the Managing Director and Co-Founder of the Center for AI Safety (CAIS), a nonprofit organization based in San Francisco focused on technical AI safety research, policy advocacy, and growing the AI safety field. He co-founded CAIS in 2022 alongside Dan Hendrycks. Prior to CAIS, Zhang co-founded the ML Alignment Theory Scholars (MATS) program through the Stanford Existential Risks Initiative (SERI), which provided mentorship, funding, and community support to emerging alignment researchers under the guidance of Evan Hubinger. He was also involved in launching the ML Safety Scholars Program and organized a $20K AI Safety Arguments Competition. Zhang is active on the AI Alignment Forum and LessWrong under the handle 'ozhang', where he has written about alignment theory programs and AI safety community building.
Economic and Social Impacts of AI
Research Scholar at ILINA focusing on the role of law and policy in strengthening model evaluations, a Researcher at the University of Cape Town African Hub on AI Safety, Peace and Security, and a Research Fellow at the Centre for AI Risk Management and Alignment (CARMA) working on whistleblower protections for AI safety professionals; he is also a Fall Research Fellow at the Vista Institute for AI Policy and holds a top‑ranked first‑class undergraduate law degree from Strathmore University.
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Partner at Wuersch & Gering LLP in New York, specializing in cross-border corporate, securities, and commercial matters for U.S. and international clients.
Head of Finance and Services and member of the management team at the ETH Zurich Foundation, with prior roles in ETH Zurich’s finance and accounting functions.
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Abigail Hing Wen is a New York Times and national bestselling author, film producer, and speaker best known for the Loveboat series of young adult novels, including Loveboat, Taipei, which was adapted into the film Love in Taipei. She holds a BA from Harvard University, a JD from Columbia Law School, and an MFA from Vermont College of Fine Arts, and has worked across law, finance, technology, and entertainment alongside her writing career.
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Rob Knake is a senior adjunct policy advisor at the Institute for Security and Technology and a principal at the cybersecurity consultancy Orkestrel; he previously served as the first Deputy National Cyber Director in the White House’s Office of the National Cyber Director and is recognized as a leading authority on U.S. cybersecurity strategy and governance.
Member of the AI Safety Awareness Project team. He graduated from the University of Minnesota Twin Cities with a Bachelor of Science in Mathematics and Computer Science and served as a research fellow at the university’s Robotics and Artificial Intelligence Lab, focusing on deep learning applications in computer vision.
Israeli-American entrepreneur and investor who co-founded Safe Superintelligence Inc., previously co-founded the search engine Cue (acquired by Apple), led artificial intelligence efforts at Apple, served as a partner at Y Combinator, and is known for early-stage investments in companies such as Uber, Instacart, Figma, GitHub, Airtable, Rippling, CoreWeave, Character.ai and Perplexity AI.
Andrey Tumas is an independent researcher who received funding from the Long-Term Future Fund for conceptual and theoretical research towards perfect world-model interpretability. Beyond this grant, no public profile, academic publications, or social media presence related to AI safety or alignment research could be located.
Felix Binder is a cognitive scientist and AI safety researcher currently working as a research scientist at Meta AI, where he focuses on AI Safety and Alignment for future superintelligent models. He completed his PhD in Cognitive Science at UC San Diego, with visiting scholar work at Stanford University, advised by Judith Fan, David Kirsh, and Marcelo Mattar. His research broadly falls under high-level interpretability and evaluations: designing experiments to elicit behaviors that reveal the inner workings of frontier models. Key areas of investigation include steganography in large language models — whether models hide information in their outputs such that a human observer cannot detect it — and introspection in LLMs, examining whether models can acquire genuine knowledge about their own internal states. His PhD work investigated agent-environment interactions during planning, exploring how environmental structure supports efficient problem-solving. He received a compute grant to study how steganography in LLMs might arise as a result of benign optimization pressure.
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Stephanie Hill is Head of People at Coefficient Giving. She previously served as Vice President of People at GiveDirectly, where she helped scale the organization from roughly 275 to 975 staff across 11 countries and led its transition to a remote-first culture spanning 22 countries, and earlier held senior roles at the NYC Department of Education. She holds a BA in English from Wake Forest University and a Master of Science for Teachers from Pace University.
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Jian Xin is the Director of Effective Altruism Cambridge, running programmes that connect Cambridge students with high-impact careers in policy, research, and other global priorities.
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Undergraduate at George Washington University in Washington, DC, studying mathematics and political science. He has become heavily involved in AI policy, raising awareness of AI developments through multiple student organizations and projects such as the Politicians on AI Safety initiative. Liam now helps the AI Safety Awareness Project by designing and running AI policy workshops and has appeared in public discussions and podcasts about AI risk and governance.
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Head of AI Risk Assessment at the UK Department for Science, Innovation and Technology, leading government efforts to identify and assess potential harms from AI after more than a decade in technology leadership roles at organisations including the UK Home Office, BBC and SEGA.
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