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Clear filtersAI Governance researcher with 25+ years of experience in qualitative stakeholder research. Appointed Expert at the Global AI Ethics Institute (Paris). Developer of the Cooperative Alignment Assessment Framework (CAAF), a cross-cultural audit tool for AI behavioral accountability. Published researcher (Beyond Technical Compliance series, SSRN). Presented at the ADBI-JICA AI Forum.
Showing 51-100 of 3968 results
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Mikhail Asavkin is the founder and CEO of ANT61, an Australian space robotics company developing satellite life‑extension technologies, and serves as Product Manager at the Beneficial AI Foundation for Signal Shot. He previously worked in mission control and on the GLONASS constellation at Roscosmos and has led engineering and product teams for large infrastructure and space technology projects in Europe and Australia.
Contribute to costs of creating an in-depth article about the impact of mass biometric surveillance in the age of AI.
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Professor of Information Technology at Federation University Australia in Ballarat and co-founder/co-leader of the Australian Responsible Autonomous Agents Collective (ARAAC), recognised for pioneering work on multi-objective reinforcement learning and its application to human-aligned, safe autonomous AI systems, and a senior member of the Future of Life Institute’s Existential AI Safety Research Community.
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Vojtěch Kovařík (also known as Vojta Kovarik) is a Czech AI safety researcher and postdoctoral fellow at the Artificial Intelligence Center, Czech Technical University in Prague. His academic background is in mathematics, having completed a PhD at the Faculty of Mathematics and Physics (MFF) of Charles University Prague, with a focus on analysis, topology, and Banach spaces, as well as game theory with imperfect information games. He subsequently held a postdoctoral position at Carnegie Mellon University's Foundations of Cooperative AI Lab (FOCAL), collaborating with Caspar Oesterheld and Vincent Conitzer on game-theoretic approaches to AI alignment. His AI safety research focuses on systemic risks and consequentialist reasoning, including work on Goodhart's Law applied to AI (formulating "Extinction-level Goodhart's Law"), cooperative AI, AI debate frameworks, and how AI systems may reason strategically during evaluations. He has co-authored papers at IJCAI, NeurIPS, and the SafeAI@AAAI workshop, and received Long-Term Future Fund grants to support his transition to full-time AI safety research.
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Slack money for increased productivity in AI Alignment research
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Project coordinator at Riesgos Catastroficos Globales
Support funding during 2 years of an AI safety PhD at Oxford
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Alex Cloud is a researcher at Anthropic whose work focuses on interpretability and agent foundations. His research includes methods such as gradient routing to localize learning updates and distillation-based approaches to robust unlearning, and he previously conducted applied reinforcement learning research at Riot Games AI and Amazon before completing a PhD in statistics at North Carolina State University.
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Chief of Staff at Atlas Computing and an AGI preparedness field-builder who has founded and scaled AI safety communities and research groups across multiple regions, working to build the global ecosystem needed to keep advanced AI safe and aligned.
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Fine-tuning large language models for an interpretability challenge (compute costs)
Henry Papadatos is Executive Director of SaferAI, where he works on key aspects of the organisation’s work ranging from risk-management ratings and AI benchmark research to risk management and internal operations. He is a technical AI risk management expert focused on closing the gap between rapid AI advancement and society’s ability to manage associated risks, and previously conducted research on large-language-model alignment at the Center for Human-Compatible AI at UC Berkeley. In his role at SaferAI he develops AI governance strategies and technical solutions for managing risks from frontier AI systems.
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Researcher in developmental robotics and interactive reinforcement learning who obtained bachelor’s and master’s degrees from the University of Santiago, Chile, and a PhD from the University of Hamburg, and who collaborates with ARAAC, including through a lab at UNSW.
A two-day, career-focused workshop to inform and connect European EAs interested in AI governance
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Funding for project transitioning from AI capabilities to AI Safety research.
Paper and policy briefs on the feasibility and optimality of governments hedging against the risk of labour automation by selling bonds and buying equities.
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Founder of Constraint Dynamics, building Golem: a geometric knowledge system for verification-before-voice AI.
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Executive Director of the Berkeley Existential Risk Initiative (BERI). She joined BERI in February 2023 to support operations and grow new collaborations, moved into the executive director role in November 2024, previously worked as a Chief of Staff at tech startups including Corvid Technologies, and holds a B.A. in Economics and Peace, War, and Defense from the University of North Carolina.
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Co-founder and Partnerships Lead at Impact Academy, with experience establishing teams that design and deliver high-quality educational programs such as Future Academy v2 (India edition), and working as an executive coach for entrepreneurs and other impact-driven individuals.
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Güven Sak is a Turkish economist who founded and leads the Economic Policy Research Foundation of Turkey (TEPAV) and is a professor of public economics at TOBB University of Economics and Technology, while also serving as a councillor with CIGI’s World Refugee Council.
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New laptop for technical AI safety research
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Developing an Edge-AI framework to reduce response latency to <0.6s, mitigating user cognitive stress and establishing "Digital Pharmacotherapy" standards.
