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Kyle Herndon is a software engineer on the Softmax team specializing in ML compilers and high-performance systems, with contributions to IREE, torch-mlir, and the ROCm ecosystem, and works on performance engineering and the multi-agent reinforcement learning training stack.
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Executive Director of the Center for AI Safety Action Fund, leveraging over 15 years of policy and advocacy experience and previously serving as a Chief of Staff on Capitol Hill, where he helped shape the NIST Risk Management Framework and the CHIPS and Science Act.
Andrew Doris is a Senior Policy Analyst at the Secure AI Project, where he works on state‑level AI safety legislation, including bills in California, Michigan, Utah, and other states that address transparency, safety plans, and liability for frontier AI developers. Previously he has served as a Senior Policy and Research Analyst at FP Analytics and a National Security Fellow for Senator Bob Casey, and earlier was a U.S. Army logistics officer.
3-month stipend to support research on the state of AI safety in China and implications for AI existential risk
Kuhan Jeyapragasan is the co-founder and Executive Director of the Cambridge Boston Alignment Initiative, where he leads AI safety and governance programming for students and early-career researchers in Cambridge. He previously co-founded and ran the Stanford Existential Risks Initiative and has been active in effective altruism community-building and AI policy outreach.
Co-founder and former CEO of Probably Good, and co-founder and CTO of Pattern Labs, an AI security firm focused on protecting advanced technologies from theft and misuse; previously led Google research efforts to predict and detect wildfires.
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5:31 PMClaude responded: Independent researcher building a new foundation model architecture from first principles.Independent researcher building a new foundation model architecture from first principles.
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I plan to investigate what realistic RL training conditions might lead to LLMs developing steganographic capabilities.
Senior Researcher at Probably Good and PhD student in philosophy at the University of Edinburgh, working on global priorities research, ethics, and longtermism, and a recipient of a global priorities fellowship from the Forethought Foundation.
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I love patterns and reasoning. Probably that's why I want to teach the same.
$10,120 for most of the ops expenses of the research phase (June-Sep 2024) of WhiteBox’s AI Interpretability Fellowship
Julia Zatariano is Hiring Manager at AE Studio, having previously worked there as a Research Associate, after earlier experience as a tax trainee at PwC and completing a bachelor’s degree in Accounting and Finance at Universidade Federal de Santa Catarina.
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Theodore Chapman is an independent AI safety researcher focused on the nature and limits of capability elicitation in large language models. He holds degrees in data science and physics from the University of Rochester, where he also built machine learning pipelines for NASA satellite imagery analysis. He participated in the ML Alignment & Theory Scholars (MATS) Winter 2023-24 cohort under the supervision of Evan Hubinger, producing research on fine-tuning-based capability elicitation in GPT-3.5. His key finding was that the performance achieved by fine-tuning an LLM on a task using one prompt format does not reliably bound the performance achievable with a different prompt format, complicating safety evaluations that rely on fine-tuning to elicit hidden capabilities. He subsequently received a 6-month researcher stipend to continue this line of work, exploring how chat fine-tuning affects LLM capability elicitation, and has published related work on LessWrong and the Alignment Forum.
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Operations specialist at AI Standards Lab and former Programme Associate at the Centre for Effective Altruism, with a background in operations, programme coordination, and community research and a BSc from Indiana University Bloomington.
Community liaison supporting the effective altruism community at the Centre for Effective Altruism; serves on the board of GiveWell, previously served as president of Giving What We Can, and formerly worked as a social worker after studying sociology at Bryn Mawr College.
I am a passionate ICT graduate with a diverse skill set in tech support, systems implementation, and network training, I have honed my expertise while working with Tharaka Nithi County. My experience includes web design and video editing, where I blend creativity with technical proficiency. An avid chess player, I thrive on strategic thinking and problem-solving. I’m dedicated to fostering innovation and excellence in every project I undertake, always eager to explore new technologies and methodologies.
Sam Bowman works on technical AI safety at Anthropic and is on long-term leave from New York University, where he is an Associate Professor of Data Science and Computer Science and previously led the NYU Alignment Research Group from 2022 to 2024.
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Compute costs for experiments to evaluate different scalable oversight protocols
Jack Ryan is an AI alignment researcher who received a grant from the Long-Term Future Fund to support work on evaluating alignment theory agendas. Due to the commonality of the name, limited public information could be confirmed about this individual's specific background, affiliations, or other professional details.
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4-month stipend to continue work on AI Control as a MATS extension
Stipend and expenses to run the second Athena mentorship program for gender-minority researchers in technical AI alignment
French/Australian filmmaker and video producer raising awareness on the risks of AI
Rafal Rohozinski is a CIGI senior fellow and principal of the SecDev Group, where he leads its geopolitical digital risk practice, drawing on extensive experience advising the United Nations and other institutions on cybersecurity and the governance of cyberspace.
Nick Hollman is a legal and AI governance researcher who worked as a Research Assistant at the Legal Priorities Project (later the Institute for Law & AI), where he focused on the long-term challenges of artificial intelligence in judicial systems. He received a $24,000 grant from the Long-Term Future Fund in November 2020 to research and advise legal practitioners on AI in the judiciary, including collaboration with advisors to the Indian Supreme Court. He co-authored "Value Alignment for Advanced Artificial Judicial Intelligence" with Christoph Winter and David Manheim, published in the American Philosophical Quarterly in 2023, which applied AI safety and alignment frameworks to the governance of advanced judicial AI systems. He also contributed to "Legal Priorities Research: A Research Agenda" (2021), a foundational paper for the Legal Priorities Project. Hollman holds a B.A. in Cognitive Science from the University of Michigan (class of 2020) and subsequently moved into a Development Coordinator role at the Reporters Committee for Freedom of the Press.
Suzy Shepherd is a British film editor and director based in Oxford, UK, specialising in documentary short-form and factual content. She holds a BA in Classics from Balliol College, Oxford (2016) and is pursuing an MFA in Film Editing at the National Film and Television School (NFTS). She has created films for the University of Oxford, the WHO, NHS England, and the BBC, and co-directed a documentary that premiered at BFI Flare Festival 2022. Her fiction short 'Mischief Managed' has accumulated over 2 million YouTube views. She received a grant from the Long-Term Future Fund to develop a short fiction film on AI x-risk at a top film school, resulting in 'Writing Doom' (2024), which won the $20,000 Grand Prize at the Future of Life Institute's Superintelligence Imagined contest and has reached over 500,000 views. Her work is noted within the effective altruism community for communicating AI safety concerns through creative storytelling.
Author of "Interplay" (2020), explores the development of generational innovation management programs tailored to address evolving societal cultures across different age groups. With a focus on building capabilities and resources for transformative movements, Laurel brings extensive experience in the venture building sphere. She dissects the valuation of technological breakthroughs and draws inspiration to map their impact on the global human trajectory. Notably, Laurel leads pioneering advancements in substrate intelligence, impacting both robot-intelligence and water-soil relations.
6-month salary for me to continue the SERI MATS project on expanding the "Discovering Latent Knowledge" paper
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Horizon Events is a Canadian non-profit that advances AI safety R&D by organizing high-impact events, including the AI Safety Unconference series and monthly Guaranteed Safe AI Seminars.
Sarah Schwettmann is Chief Science Officer at Transluce and a research scientist at MIT CSAIL with the MIT-IBM Watson AI Lab. Her work focuses on developing tools for understanding artificial neural networks and she holds a PhD in Brain and Cognitive Sciences from MIT, where she was an NSF fellow.
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6-months salary to accelerate my plans of upskilling in order to work on the issue of AI safety
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Felecia Webb is Chief Strategy Officer, Philanthropy and Partnerships at Partnership on AI, where she is responsible for sustainable growth, partner engagement, and amplifying the organization’s global impact on responsible AI. A social impact strategist and advocate for equity with more than 20 years of experience across the nonprofit and private sectors, she has led data-driven initiatives in arts and culture, social services, workforce, and youth development.
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