No summary available yet.
Led byGeorg Lange
Database
Loading results...
Loading results...
Showing 2001-2050 of 4522 results
No summary available yet.
Stella Biderman is a mathematician and artificial intelligence researcher specializing in natural language processing, interpretability, and large language models. She serves as Executive Director of EleutherAI and has previously worked as a machine learning researcher at Booz Allen Hamilton, helping lead the development and open release of influential models and tools such as GPT-NeoX, BLOOM, VQGAN-CLIP, and OpenFold.([stellabiderman.ai](https://www.stellabiderman.ai/))
pushing bounds of organized digital systems
No summary available yet.
4-month funding for independent alignment research and study
General Support for an AI Safety evals for-profit
No summary available yet.
No summary available yet.
No summary available yet.
ERA (Existential Risk Alliance) is a Cambridge-based nonprofit running a fully funded annual fellowship to train researchers and entrepreneurs working on AI safety and governance.
Working to bridge the gap between frontier AI models and the level of cybersecurity they need by connecting professionals to high-leverage opportunities in AI security.
Katy Moore is a Podcast Associate and production coordinator at 80,000 Hours, where she supports the production and publication of The 80,000 Hours Podcast and related content. She holds a bachelor’s degree in history from Oregon State University and a master’s degree in library and information studies from the University of Alberta, and has previously worked as a plain language specialist and content coordinator in public legal information and mental health services.
EA and AI safety community organiser who has held leadership roles at EA Hungary and AI Safety Hungary, including director and head of operations positions. He has an MSc specialising in behavioural economics, is pursuing a degree in psychology, and previously worked as a research and teaching assistant and in partner relations and sales before moving into full-time impact-focused community-building.
No summary available yet.
No summary available yet.
A collaborative research programme between the Leverhulme Centre for the Future of Intelligence and the Centre for the Study of Existential Risk at the University of Cambridge, focused on the global risks, governance, and long-term safety of advanced AI.
Research engineer at Workshop Labs PBC working on machine learning, AI alignment, and AI interpretability.
No summary available yet.
Empirical measurement infrastructure proving whether AI systems hold their constraints under real operating conditions.
No summary available yet.
Senior AI Policy Researcher at the Safe AI Forum (SAIF). Previously interned at Google DeepMind and the Centre for the Governance of AI, developing social impact evaluations for frontier AI models. She is an MA candidate in Computational Social Science at the University of Chicago, co‑founded the university’s Existential Risk Laboratory, and holds a BS in Philosophy, Politics, Economics from University College London.
Dave Edwards is co-founder of the Artificiality Institute, a nonprofit research organization focused on the human experience of AI. He previously co-founded Intelligentsia.ai, an AI-focused market research firm that was acquired by Atlantic Media, and has worked on Apple’s creative software products as well as investing in emerging technologies as a venture capitalist at CRV and an analyst at Morgan Stanley and ThinkEquity. He extends this work as a visiting researcher at UC Berkeley’s Center for Human-Compatible AI.
No summary available yet.
Computer scientist affiliated with Zeroth Research, working on program analysis and formal verification, including dynamic partial order reduction, symbolic execution, and runtime monitoring tools.
No summary available yet.
Francis Rhys Ward is an AI safety researcher who completed his PhD at Imperial College London through the Safe and Trusted AI Centre for Doctoral Training, with a thesis focused on formalising and evaluating deception in AI agents. He joined Redwood Research as an Astra Fellow in January 2025. He holds an MSc in Artificial Intelligence from Imperial College London (2019-2020) and an undergraduate degree in Mathematics from Cardiff University, including a placement at CERN and the University of Warwick on particle physics. His research spans conceptual and philosophical work, theoretical research on agents and deception, empirical evaluations of frontier AI systems, and AI control, with notable work on sandbagging (strategic underperformance on capability evaluations) and AI personhood. He is a member of the Causal Incentives Working Group, a member of the FLI AI Existential Safety Community, a scientific advisor to LawZero, and a MATS mentor. He has previously worked at the Centre for Assuring Autonomy, the Center on Long-Term Risk, the Centre for the Governance of AI, and the UK's AI Security Institute, and ran an AGI Safety reading group and seminar series at Imperial College London.
No summary available yet.
6-month stipend to continue research on benchmarks for interpretability and on characterizing Goodhart's Law
9-week stipend for two part-time researchers to write and publish a policy proposal: Mandatory AI Safety ‘Red Bonds’
No summary available yet.
Shoshannah Tekofsky is a researcher and Member of Technical Staff at Sage, a US nonprofit behind the AI Digest and AI Village projects, where she studies frontier AI agent behavior in persistent multi-agent environments. She holds a BSc in Cognitive Science, an MSc in Computer Science, and a PhD in Player Modeling in Video Games from Tilburg University (2017), where her dissertation examined connections between gaming behavior and cognitive traits across tens of thousands of players. She previously conducted research at the MIT Media Lab and the European Space Agency. Her AI safety work focuses on Collective Human Intelligence (CHI) as a framework for alignment, and she received a grant to research novel alignment strategies by analyzing and enhancing CHI across seven pilot studies. She is active on LessWrong (username: DarkSym) with over 50 posts on alignment, rationality, and AI psychology, and organizes rationality meetups in the Netherlands. She has also collaborated with EA Netherlands on rationality workshop development.
A research initiative at the University of Oxford's Martin School that combines technical AI expertise with deep policy analysis to understand and mitigate lasting risks from AI through governance research, decision-maker education, and training future technology governance leaders.
No summary available yet.
No summary available yet.
An AI safety research group led by David Krueger at the University of Cambridge's Computational and Biological Learning Lab (2021-2024), focused on technical AI alignment, deep learning safety, and reducing existential risk from advanced AI.
AI researcher building open-source infrastructure for trustworthy AI systems, semantic retrieval, and knowledge graphs. Creator of Semantica.
No summary available yet.
No summary available yet.
4M+ views on AI safety: Help us replicate and scale this success with more creators
≤1-year salary for alignment work: assisting academics, skilling up, personal research and community building
No summary available yet.
Independent Researcher
No summary available yet.
No summary available yet.
Sam Hogg is Head of Policy Engagement at the Oxford China Policy Lab, where he leads strategy for inserting OCPL’s analysis into public- and private-sector decision-making on UK–China relations, geopolitics, and AI. He is the founder of Beijing to Britain, a weekly briefing on UK–China relations that has been widely read across governments, embassies, and corporate clients, and his writing on China strategy and UK China capabilities has been published multiple times by the UK Parliament and major media outlets.
AI safety-focused community builder who recently completed an undergraduate philosophy degree at Queen’s University in Canada, concentrating on philosophy of mind, AI, science, and logic, and now works on expanding the talent pool of people contributing to AI safety.
No summary available yet.
