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Clear filters to view everything →Managing Director of Langsikt (Centre for Long-Term Policy), where he is responsible for policy development, partnerships and communications. Previously he served as a policy director at Norad, worked as a financial policy adviser for the Conservative Party’s parliamentary group, and held business development roles at Visma. He holds a master’s degree in Industrial Economics and Technology Management from NTNU and chairs the philanthropic foundation Gi Effektivt.
My life's missions is to mitigate the risks that come with the creation of AGI
Geci Karuri-Sebina, Ph.D., is Director of the Southern African Node of The Millennium Project and a Johannesburg-based scholar-practitioner working at the intersection of urban development, governance, technology, and innovation. She has held senior roles at South African Cities Network, South Africa’s National Treasury, the Human Sciences Research Council, and CSIR, and holds a bachelor’s in computer science and sociology from Coe College, dual master’s degrees in architecture and urban planning from UCLA, and a PhD in planning and innovation studies from the University of the Witwatersrand.
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Researcher at MIT FutureTech and The University of Queensland whose work focuses on improving efforts to classify and address risks from artificial intelligence, including survey research on public priorities for AI development and regulation.
Abhijit Narayan S received a grant from the Long-Term Future Fund in June 2023 to support a 4-month self-study stipend focused on upskilling in technical AI alignment, with the intention of applying learnings to reinforcement learning models. The grant of $1,000 was aimed at enabling participation in ML safety courses as part of an early-stage entry into the AI safety field.
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Professor of Computer Science at the University of Virginia and Co‑Director of AI Research in the Office of the Provost; formerly Division Director for Information & Intelligent Systems at the U.S. National Science Foundation, founding director of the Goergen Institute for Data Science at the University of Rochester, and recipient of the 2018 ACM‑AAAI Allen Newell Award and 2020 AAAI Distinguished Service and Engelmore Lecture awards.
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Animal protection and longtermism researcher with training in physical sciences, particularly geophysics
Danielle Ensign (also known online as Phylliida) is an AI safety researcher and software developer based in the United States. She received a bachelor's degree from the University of Utah (2012–2017), where she published early research on algorithmic fairness, including the influential paper "Runaway Feedback Loops in Predictive Policing" (FAT/ML 2017). She later participated in the OpenAI Scholars program (2021), studying how text generation models affect opinion ecosystems. As a MATS fellow (2024), mentored by Adrià Garriga-Alonso, she conducted circuit-based mechanistic interpretability research on the Mamba state-space model architecture, producing the paper "Investigating the Indirect Object Identification circuit in Mamba" (arXiv:2407.14008) and creating MambaLens, a widely-used TransformerLens port for Mamba. She subsequently became an Anthropic Fellow (2025), working with mentor Kyle Fish on studying LLM conversation termination behavior, resulting in the paper "The LLM Has Left The Chat: Evidence of Bail Preferences in Large Language Models" (arXiv:2509.04781).
Manya Saini is a business and finance journalist at Reuters, covering U.S. banks, fintechs, private venture funding, IPOs, private equity, crypto, and related capital markets.
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David Rolnick is an assistant professor in McGill University’s School of Computer Science, a core academic member of Mila, and a Canada CIFAR AI Chair. His research focuses on applying machine learning to address climate change, and he is co‑founder and chair of Climate Change AI as well as scientific co‑director of Sustainability in the Digital Age.
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Hunter Jay runs the Sydney AI Safety Space (SASS), a volunteer‑run, donation‑supported coworking space providing free office space for people working on AI safety.
Buddhist chaplain, meditation teacher, social entrepreneur, and co-founder of the Buddhism & AI Initiative; he holds a Master of Divinity in Buddhism from Columbia University’s Union Theological Seminary and previously worked as a founder, CMO, startup operator, and strategy and innovation consultant at Deloitte.
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Aidan Ewart is an AI safety researcher and mathematics undergraduate at the University of Bristol (2022-2026), based in the UK. He has participated in the MATS program as a Research Scholar, working primarily on adversarial robustness and latent adversarial training (LAT). He interned at Haize Labs (July-October 2024) in New York, where he built automated red-teaming infrastructure and contributed to red-teaming of OpenAI's o1 models and contract work with Anthropic. His published research includes co-authoring 'Sparse Autoencoders Find Highly Interpretable Features in Language Models' (ICLR 2024), 'Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs' (NeurIPS 2024), and 'AuditBench: Evaluating Alignment Auditing Techniques on Models with Hidden Behaviors' (2026). He has received funding from the Long-Term Future Fund for independent research on LM interpretability and for a MATS 5.0 extension focused on improving methods in latent adversarial training.
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Darryl Wright is an AI safety researcher and advisor who received a Long-Term Future Fund grant to conduct independent AI safety research, focusing on two projects: penalizing neural networks for learning polysemantic neurons, and crowdsourcing alignment research from volunteers. He holds a Master's in Physics and a PhD in Astrophysics from Queen's University Belfast, where his doctoral research applied machine learning to transient survey classification using data from the Pan-STARRS1 survey. He subsequently held research positions at the University of Minnesota's Minnesota Institute for Astrophysics, the University of Oxford, and Mayo Clinic Rochester, where he worked on machine learning applications in healthcare. He also contributed to the Zooniverse citizen science platform, investigating how AI and citizen scientists can cooperate on data-intensive research problems. He has served as a mentor for the Supervised Program for Alignment Research (SPAR) and is currently an AI policy and law advisor at Successif.
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CEO and Founder of the Odyssean Institute
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Sijia Liu is a Red Cedar Distinguished Associate Professor in the Department of Computer Science and Engineering at Michigan State University and an affiliated professor at IBM Research and the MIT‑IBM Watson AI Lab. He received his Ph.D. in Electrical and Computer Engineering from Syracuse University, then worked as a postdoctoral research fellow at the University of Michigan and as a research staff member at the MIT‑IBM Watson AI Lab. His research focuses on scalable and trustworthy AI, including scalable optimization for deep models, machine unlearning for vision and language models, AI robustness and data‑model efficiency, and his work has been recognized with honors such as an NSF CAREER Award, the INNS Aharon Katzir Young Investigator Award, MSU’s Withrow Rising Scholar Award and best paper accolades at venues including UAI and ICASSP.
Alex Lintz is an independent researcher specialising in AI governance, affiliated with the Institute for AI Policy and Strategy and co-founder of the AI Safety Communications Centre. He previously worked at the Centre for the Governance of AI, has led workshops on AI safety, and holds a master’s degree in economics from the University of Zurich.
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Austin Carson is the founder and CEO of SeedAI, a Washington, D.C.–based nonprofit focused on AI policy, governance, and national AI readiness. He previously established and led NVIDIA’s Washington, D.C. government affairs operation and spent several years as a congressional technology staffer, including roles with the House Homeland Security Committee and the Congressional Cybersecurity and High Tech Caucuses.
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Gunnar Schaefer is a strategic advisor involved with multiple healthcare and technology companies, including AE Studio, MedLever, Gradient Health, Trenser Technology Solutions, Polygon Health, Stratagen Bio, and Nakamir, where he applies extensive experience in technology-driven innovation and digital transformation.
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David Bloomin is a founder and chief architect-type leader at Softmax. He previously spent about two decades building large-scale infrastructure at Google, Facebook, and Asana, co-founded the Plurality Institute, and led research on multi-agent AI frameworks and governance methods.
Akash Kundu is a final‑year computer science undergraduate and Cooperative AI Research Fellow whose work in technical AI safety focuses on evaluating and stress‑testing large language models. His projects have uncovered behavioural failures such as dark patterns, sycophancy, harmful reasoning and multilingual vulnerabilities, and he has co‑authored work presented at venues including ICLR, AAAI and NeurIPS in collaboration with groups like Apart Research, FAR AI and Humane Intelligence.
Elizabeth Van Nostrand is an independent freelance researcher and founder of North Sea Analytics, a consultancy offering research and analysis on complex, novel problems. She studied computer science and computational biology at Cornell University and previously worked as a software engineer at companies including Adobe, Google, and Wave before transitioning to full-time freelance research in 2017. She writes at her blog Aceso Under Glass (acesounderglass.com) and is an active contributor to LessWrong (username: elizabeth, formerly pktechgirl), where she has accumulated over 22,000 karma across 178 posts. Her research work has focused on epistemic methodology, including the Epistemic Spot Checks and Knowledge Bootstrapping projects aimed at developing tools for researchers to evaluate sources and learn new fields from scratch without deferring to credentialed authorities. She has received grants from the Long-Term Future Fund for this knowledge bootstrapping work and for general research support via Lightcone Infrastructure, and her essays have been included in the LessWrong community anthology The Engines of Cognition.
former AGI alignment at MIRI, now human intelligence enhancement
Dr. Tamara Kneese is a Senior Research Scientist at Partnership on AI, where she leads qualitative research on the social and environmental impacts of AI and digital technologies. She previously directed Data & Society’s Climate, Technology, and Justice program and its Algorithmic Impact Methods Lab, and her work examines how data infrastructures and automation affect labor, communities, and the environment.