Project
1.5-month salary to write a paper/blog post on cognitive and evolutionary insights for AI alignment
Led byMarc-Everin Carauleanu
Endorsed by
Database
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Showing 1851-1900 of 4522 results
1.5-month salary to write a paper/blog post on cognitive and evolutionary insights for AI alignment
No summary available yet.
1-year salary for independent research to investigate how LLMs know what they know.
No summary available yet.
Nikos Bosse is a research engineer at FutureSearch. He holds a PhD in Statistics from the London School of Hygiene and Tropical Medicine and an MD from the University of Göttingen, and previously worked on research strategy at Metaculus while completing his medical and doctoral training in infectious disease forecasting and forecast evaluation.
No summary available yet.
Enabling Compassion in Machine Learning (CaML) to develop methods and data to shift future AI values
Yordanos Asmare is the Head of People at FAR.AI, where she leads and manages people operations, including recruitment, culture, and employee experience. She has deep experience building and scaling organizations, running operations, and developing communities and partnerships, and she specializes in creating high‑performance, inclusive, and impactful teams and cultures. Yordanos holds a BA in English Literature with a focus in Sociology of Education from Stanford University.
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A virtual pet simulator that teaches reinforcement learning failures through simple and fun interactions.
Zach Graves is president and CEO of the Foundation for American Innovation and an ex officio member of its board. Previously head of policy at FAI, he has led work at the intersection of technology and governance, after earlier roles directing technology and innovation policy at the R Street Institute and working at the Cato Institute and America’s Future Foundation.
A nonprofit AI safety organization that researches, funds, and seeds high-impact interventions to reduce existential risk from artificial intelligence, operating key programs including the Nonlinear Network funding platform and the Nonlinear Library podcast.
2-month salary to test suitability for technical AI alignment research and identify a research direction
David Chanin is a PhD student in the UCL Centre for Doctoral Training in Foundational AI, where he studies mechanistic interpretability and knowledge representation in large language models. He is a researcher at Decode Research and a maintainer of the SAELens library, contributing to open-source tooling for training sparse autoencoders and analyzing neural network internals.
Research scientist in the Algorithmic Alignment Group at MIT CSAIL working with Prof. Dylan Hadfield-Menell, broadly interested in ensuring that algorithms and systems behave correctly, safely, and in line with their intended real-world purpose.
Rohinton P. Medhora is a CIGI distinguished fellow and professor of practice at McGill University’s Institute for the Study of International Development; he served as CIGI’s president from 2012 to 2022 and previously was vice president of programs at Canada’s International Development Research Centre, with expertise in international economic relations, innovation policy and development economics.
Seán Ó hÉigeartaigh is Director of the AI: Futures and Responsibility Programme at the University of Cambridge, a joint programme between the Centre for the Study of Existential Risk and the Centre for the Future of Intelligence. His work focuses on foresight and governance of frontier and general-purpose AI, including the geopolitical implications of advanced AI, and he has previously served as founding Executive Director of the Centre for the Study of Existential Risk and helped establish the Leverhulme Centre for the Future of Intelligence.
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Founding director of the Institute for Law & AI and Assistant Professor of Law and AI at the University of Cambridge. His research focuses on the law and policy of general‑purpose and advanced AI systems, and he has served as a legal advisor to the EU GPAI Code of Practice.
6-month stipend to remove conditional bad behaviors from LLMs via a learned latent space intervention
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No summary available yet.
A research lab at the intersection of philosophy and AI safety, using philosophical and computational methods to study AI alignment, governance, and normative competence, founded and directed by Seth Lazar at Johns Hopkins University and the Australian National University.
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Project Specialist at Impact Academy who graduated with an integrated Master’s in Development Studies from the Indian Institute of Technology (IIT) Madras, previously worked as a public policy researcher at the Mercatus Center at George Mason University, and has written on development issues for several publications.
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5-month salary and compute expenses for technical AI Safety research on penalizing RL agent betrayal
The World Economic Forum is an international non-governmental organization that convenes global leaders from business, government, academia, and civil society to address major challenges including AI governance and emerging technology risks.
Nathan Sherburn is a software engineer and entrepreneur who leads Good Ancestors’ technical research projects, including its Legal Zero-Days work, drawing on experience building AI-assisted products and tools.
6-month stipend to continue independent interpretability research
Katja Grace is a researcher focused on understanding the future impacts of artificial intelligence. She co-founded AI Impacts, a long-running project examining empirical and conceptual questions relevant to AI forecasting and decision-making, and leads its research on technological trajectories, expert prediction, model scaling and related topics.
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2 months of part-time salary for a trial + developer costs to maintain and improve the AI governance document sharing hu
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A Baltimore-based nonprofit media platform that produces podcasts, videos, and social content to bring AI extinction risk into mainstream public conversation.
Arthur Grimonpont is Head of Advocacy at CeSIA, where he represents the organisation in parliamentary hearings and public debates on systemic AI risks. He is also an essayist and advisor on AI at Reporters Without Borders (RSF) and author of the book “Algocratie”, which examines how artificial intelligence shapes the information ecosystem.
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I'm an independent AI researcher and systems architect based in Querétaro, Mexico. I've been building and deploying AI systems since 2024, working across full-stack architecture, applied ML, and behavioral analysis.
Promoting pandemic preparedness, with special focus on influenza
sailing the cyberspace
Lewis Hammond is a DPhil candidate in computer science at the University of Oxford and Research Director at the Cooperative AI Foundation. His doctoral research, supervised by Alessandro Abate, Julian Gutierrez, and Michael Wooldridge, focuses on safety and cooperation in multi-agent systems, motivated by the goal of ensuring AI and other powerful technologies are developed and governed safely and democratically. He holds a BSc in mathematics and philosophy from the University of Warwick and an MSc in artificial intelligence from the University of Edinburgh. His key research areas span game theory, formal methods, machine learning, cooperative AI, causal reasoning in games, and scalable oversight; notably, his ICLR 2025 paper on neural interactive proofs introduces a framework for how a computationally bounded verifier can learn to interact with powerful but untrusted provers to solve tasks, directly addressing the scalable oversight problem. He is also affiliated with the Centre for the Governance of AI, is a Pathways to AI Policy Fellow at the Wilson Center, and was previously a DPhil Affiliate at the Future of Humanity Institute. His scalable oversight experiments received funding from the Long-Term Future Fund and OpenAI.
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