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Clear filtersNate Thomas is a co-founder of Redwood Research and its former CEO; he now serves on the board of directors and focuses on shaping the organization’s strategy for high-impact AI safety research programs.
Showing 2301-2350 of 3945 results
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Researcher at the UK AI Security Institute whose work focuses on machine learning, AI safety, data poisoning and Gaussian processes.
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Fellowship Lead for the AI Safety Initiative at Georgia Tech and computer science undergraduate who manages the AI Safety Fellowship and is interested in adversarial robustness and theoretical approaches to AI safety.
Jamie Susskind is a non-resident fellow at the Foundation for American Innovation and a partner at ACG Advocacy. A veteran tech-policy lawyer, she previously served as legislative director to Senator Marsha Blackburn, overseeing a large legislative team and leading work on issues including data privacy, cybersecurity, broadband, spectrum, and online content moderation.
Alessandro Palmas is a machine learning researcher and engineer on LawZero’s core research and engineering team, where he works on truthful, transparent, safe-by-design AI through next-generation foundation models, reasoning architectures and simulation-driven decision-making. His background spans artificial intelligence and aerospace engineering, with published work on topics such as low-thrust trajectory optimization and computer vision for UAVs.
PhD student researching human-aligned AI with Deakin University and CSIRO’s Data61 Robotics and Autonomous Systems Group, focusing on socially responsible, interactive and human-aligned autonomous agents (including apology-based approaches) and a member of the Australian Responsible Autonomous Agents Collective (ARAAC).
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Superforecaster, also a forecaster for Samotsvety, the Swift Centre & INFER. Interested in X-risk reduction.
Redwood Research contractor building software engineering settings for AI control research
Liam is the creator behind the Siliconversations YouTube channel, a former quantum scientist who previously specialised in machine learning on quantum computers and now makes animated videos about AI safety and related topics for general audiences.
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Philip Reiner is the Chief Executive Officer and Co‑Founder of the Institute for Security and Technology, a global nonpartisan think tank bridging technologists and national security policymakers; he previously served as Senior Director for South Asia on President Obama’s National Security Council, worked in the Office of the Under Secretary of Defense for Policy at the Pentagon, and held roles at Raytheon Space and Airborne Systems.
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Recruitment specialist at Impact Ops based in Belgrade, Serbia, with 6–15 years of international recruitment and HR experience across APAC and EMEA, focused on supporting effective altruism and other social-impact organizations.
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government economist, previously an EA organiser at London School of Economics
Co-founder and board president of AI Standards Lab and Technical Research Manager at Pivotal Research, with a mechatronics engineering background and prior experience as an early engineer at an ophthalmic surgical robotics startup that raised over $150M, working on AI control, risk and quality management, and failure modes of automated alignment.
Axel Højmark is an AI safety researcher and Member of Technical Staff at Apollo Research, where he works on evaluations for AI scheming and deception. He studied Computer Science at the University of Copenhagen (DIKU), where his bachelor's thesis on AI-generated social media content was accepted at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). He subsequently participated in the MATS Summer 2024 cohort, researching improved methods for evaluating capabilities of LM agents and agent scaling laws under the mentorship of Jérémy Scheurer and Marius Hobbhahn from Apollo Research. His key publications include "Forecasting Frontier Language Model Agent Capabilities" (2025), which evaluated six forecasting methods for predicting downstream LLM agent performance, and "Stress Testing Deliberative Alignment for Anti-Scheming Training" (2025), a collaboration with OpenAI examining mitigations for covert AI misbehavior. He has received funding from the Long-Term Future Fund to support his research on agent scaling laws and the relationships between training compute and agent capabilities.
Interim Director of the UK’s AI Security Institute and former GCHQ Chief AI Officer, with a background as a senior national security leader managing AI risks and opportunities.
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Principal at the School of International Futures and Deputy Director at the University of Cambridge’s Centre for the Study of Existential Risk, with a background in science and technology policy at organisations including the Dubai Future Foundation, the Royal Society and Nesta, focusing on foresight, futures thinking and governance of emerging technologies.
Year-long salary for shard theory and RL mech int research
Translating in-person convening to measurable outcomes
Baeo Maltinsky has worked as an analyst at biotech start-up EnChroma and in education and outreach at Lawrence Berkeley National Lab, has done research on biophysically inspired clustering at the Redwood Center for Theoretical Neuroscience and on marine animal communication, and holds a BA in Mathematics from UC Berkeley.
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Rohan Selva-Radov is an advisor to the Oxford AI Safety Initiative and works in investment and strategy at Macroscopic Ventures, a non-profit grantmaker focused on preventing dystopian AI futures.
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Putting explainability at the forefront of AI text detection
Timothy High is Chief Technology Officer on the Society Library’s executive/core team, responsible for its technology efforts.
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David Jones is the CEO and founder of Wavefront Security. He has spent around eight years working in fintech security, designing and deploying security products and algorithms while training partners to use them, and most recently led a document liveness detection product designed to identify fraudulent identity documents from a single image.
10-month funding to study ML at university and AIS independently
This grant provides a stipend for Cindy Wu to spend 4 months working on AI safety research.
One year stipend and compute budget, for full-time technical AI alignment research
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