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Catherine Régis is a full professor of law at Université de Montréal whose work spans health law, artificial intelligence, and digital innovation. She holds a Canada CIFAR AI Chair, is an associate academic member at Mila, serves as Director of Social Innovation and International Policy at IVADO, and is Co-Director of the Canadian AI Safety Institute Research Program at CIFAR.
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This round of funding will be used primarily for prototype hardening, artifact packaging, runtime evaluation, and preparation for external review.
Advocating for U.S. federal AI safety legislation to reduce catastrophic AI risk.
Sviatoslav (Slava) Chalnev is an AI researcher based in Sydney, Australia, with a background in mechanistic interpretability and AI safety. He studied at The Australian National University and subsequently pursued independent interpretability research funded by two Long-Term Future Fund stipends totaling $75,000, focused on mechanistic interpretability methods and open-source tooling. He participated in the MATS 6.0 program under Arthur Conmy, resulting in the paper "Improving Steering Vectors by Targeting Sparse Autoencoder Features" (arXiv:2411.02193, 2024), which introduced SAE-Targeted Steering (SAE-TS), a method for constructing steering vectors that target specific sparse autoencoder features while minimizing unintended side effects. He also co-authored "A Single Direction of Truth" (arXiv:2507.23221, 2025), demonstrating that a linear probe on an observer model's residual stream can detect and causally steer contextual hallucinations in language models. More recently, Chalnev co-founded Integuide, an AI startup building tools to capture and disseminate expert technician knowledge, which was part of the Startmate Winter 2025 accelerator cohort.
12 month stipend and expenses to research in AI Safety (Unlearning; Modularity; Probing Long-term behaviour)
Tomislav Kurtovic (Tomislav Kurtović) is a researcher and Computer Vision PhD candidate at the Faculty of Electrical Engineering and Computing (FER), University of Zagreb, Croatia. He holds a university master's degree in computer engineering (univ. mag. ing. comp.) and works in the Department of Electronic Systems and Information Processing. At FER, he teaches laboratory exercises for Information Processing and Statistical Data Analysis at the undergraduate level, and Deep Learning 2 at the graduate level. In Q4 2022, he received a grant from the Long-Term Future Fund (LTFF) to skill up in machine learning and AI alignment, with the goal of developing a streamlined course in mathematics and AI for an alignment-focused audience.
Jenna Peters is Chief of Staff for the Career Services Team at 80,000 Hours. Before joining 80,000 Hours she worked as a project manager at the Centre for Effective Altruism and as a Post‑Baccalaureate Fellow at the Center for Global Women’s Health Technologies at Duke University. Jenna graduated summa cum laude from Duke University with a BS in neuroscience.
Oliver Patel is the Enterprise AI Governance Lead at AstraZeneca, where he leads the global framework of policies, standards and processes to ensure the company can realise the benefits of AI while managing associated risks. He writes the "Enterprise AI Governance" Substack and is a frequent speaker on practical frameworks for scaling AI governance in large organisations.
I've self funded my ramp up for six months and interview/grant processes are taking longer than expected.
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Cover participant stipends for AI Safety Camp Virtual 2023
6-months of part-time stipend to launch a new science journalism outlet focused on AI Safety
Promoting better management of Global Catastrophic Risks in Spanish-Speaking countries.
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Lead of mech interp team at Google DeepMind
Org director studying how social change happens | Climate, animal welfare, AI safety movements
Itay Yona is an AI security researcher and mechanistic interpretability specialist who founded MentaLeap and serves as its founder and principal investigator while also working as an AI security researcher at Google DeepMind.
Chair of the UK’s AI Security Institute, overseeing its work to evaluate and mitigate serious risks from advanced AI systems.
Hoagy Cunningham is an AI safety researcher currently working at Anthropic, where he has contributed to both interpretability and safeguards research. He holds a 2:1 in Politics, Philosophy and Economics from The Queen's College, Oxford, and earlier in his career worked as a researcher at Full Fact, the UK fact-checking charity, and as an economist. He became a SERI MATS scholar under Lee Sharkey and is the lead author of "Sparse Autoencoders Find Highly Interpretable Features in Language Models" (ICLR 2024), a foundational paper demonstrating that sparse autoencoders can recover monosemantic, interpretable features from language model activations. This work was independently developed in parallel with similar research published by Anthropic and generated significant excitement in the mechanistic interpretability community. He received Long-Term Future Fund grants supporting his sparse coding research and work on preventing steganography in interpretable representations. At Anthropic, he has contributed to research on scaling monosemanticity, constitutional classifiers for jailbreak defense, and auditing language models for hidden objectives.
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Member of Technical Staff on Sage’s Epistemics team, alongside independent work as a machine learning and drug discovery researcher known for the Lo-Hi benchmark and related ML drug discovery tools.
Chris Mathwin is a mechanistic interpretability researcher based in Sydney, Australia. He holds a Master of Engineering in Civil Engineering from the University of Melbourne and transitioned into AI safety research through programs including AI Safety Camp (AISC8, 2023) and the ML Alignment Theory Scholars (MATS) program, where he worked under Lee Sharkey at Apollo Research. His primary research focuses on understanding how representations are distributed across attention heads in transformer models; this work produced the 2024 paper "Gated Attention Blocks: Preliminary Progress toward Removing Attention Head Superposition" (co-authored with Dennis Akar). He has also participated in multiple mechanistic interpretability hackathons, including a top-ranked submission identifying a circuit for predicting gendered pronouns in GPT-2 Small (with Guillaume Corlouer, London EA Hub). He received a grant from the Long-Term Future Fund to support a 6-month salary for an AI Safety Camp project and continuing independent mechanistic interpretability research. He is currently a Founding Research Engineer at Harmony Intelligence, an AI safety startup focused on evaluations and red teaming.
AI safety researcher at Aether focusing on work related to LLM agent safety.
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Stephanie Ifayemi is Senior Managing Director of Policy at Partnership on AI, where she founded the organization’s policy department and leads global engagement with policymakers and international organizations on responsible AI governance. Previously she was Head of Digital Standards Policy in the UK government’s Department for Digital, Culture, Media and Sport, leading work on international technical standards for AI and other emerging technologies.
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Dr. Ali Akbari is Director of AI Practice at Gradient Institute, bringing a background in software engineering and more than 20 years’ experience building and operationalising AI systems. He holds an MSc in Artificial Intelligence and Robotics and a PhD in Computer Vision from the Tokyo Institute of Technology, and has led major AI projects across sectors including banking, government, transport and manufacturing. He previously led development of KPMG’s Trustworthy AI Model, helped implement the NSW AI Assurance Framework at Transport for NSW, and serves on Standards Australia’s AI Committee.
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Selamawit Tezera Chaka is a Pan‑African feminist and digital rights advocate from Ethiopia, serving as a United Nations Foundation Peace Next Generation Fellow and leading the sheEsecures initiative to advance women’s safety, peacebuilding and secure digital activism.
A Cambridge-based hub bringing together students and professionals to reduce existential risks from advanced AI systems through education, research mentorship, and community-building.
Mike Belinsky is Director of the AI Institute at Schmidt Sciences, where he helps lead strategy, management, and program design for AI initiatives; previously he was a principal at The Bridgespan Group and co-founded Instiglio, designing impact bonds such as the Educate Girls Development Impact Bond, and he holds a BA from Dartmouth College and an MPP from Harvard Kennedy School.
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Indie dev, Wanderer
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Organizing global AI ethics think tank for dynamic AI research updates and framework for AI safety policies implementation and humanity income support
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Computer scientist specializing in machine learning and deep learning, co-founder of OpenAI and Safe Superintelligence Inc., known for major contributions such as AlexNet, sequence-to-sequence learning and GPT models, and formerly serving as OpenAI's chief scientist.
This grant is funding a 6-month stipend for Bilal Chughtai to work on a mechanistic interpretability project
