Database

Operations Specialist at Probably Good with extensive experience supporting teams to achieve meaningful results; previously worked as a lawyer in Canada, developing processes and documentation to help clients navigate the legal system.

No summary available yet.

Assistant Professor of accounting at Mississippi State University whose research focuses on nonprofit accounting and how donors use accounting information, and who also serves as a trustee of CEEALAR.

No summary available yet.

No summary available yet.

Robert Farias is Senior Director of Partnerships at Mila – Quebec Artificial Intelligence Institute, where he leads partnership management and business development, building strategic links between Mila researchers, the broader AI ecosystem, and external partners so they can maximize the value of their collaboration with Mila.

Some random dude.

No summary available yet.

No summary available yet.

No summary available yet.

I maintain Agent Threat Rules (ATR), an MIT-licensed detection rule corpus for AI agent attacks. 344 rules. In production at Microsoft, Cisco, MISP, OWASP.

No summary available yet.

UC Santa Barbara is a major public research university whose Center for Responsible Machine Learning conducts AI safety-adjacent research on fairness, bias, transparency, and the societal impacts of AI systems.

Director of Sustainability at Condé Nast, responsible for developing the company’s first global sustainability strategy, with an academic background in environmental policy and human rights from Sciences Po Paris.

Milan Griffes is a Principal at Lionheart Ventures, a venture capital firm based in Portland, Oregon, where he focuses on early-stage investments. He began his career as a Research Analyst at GiveWell (2014-2016), the leading charity evaluator, before pursuing an MHS in Mental Health at the Johns Hopkins Bloomberg School of Public Health — funded in part by an EA grant. He holds a bachelor's degree in History and Music from Michigan State University and studied Classics in Rome. He subsequently co-founded Atman, a psychedelic retreat that reached cash-flow positive status before being acquired by Odyssey in 2024, and served as Head of Risk at Sendwave, a Y Combinator-backed fintech company whose business unit was sold to WorldRemit in 2020 for $500M. Griffes is an advisor to the Qualia Research Institute and has been a prolific contributor to the EA Forum (over 4,500 karma, 100+ posts) writing on topics including AI safety, catastrophic risk, psychedelics as a cause area, effective altruism culture, and mental health. His personal blog, Flight From Perfection, covers ethics, contemplative practice, and social phenomena.

No summary available yet.

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.

No summary available yet.

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.

No summary available yet.

No summary available yet.

No summary available yet.

No summary available yet.

A 501(c)(3) nonprofit that accelerates neglected approaches to AI alignment by providing researchers with engineering teams, compute resources, and operational infrastructure.

No summary available yet.

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.

No summary available yet.

Animal protection and longtermism researcher with training in physical sciences, particularly geophysics

IAIGA is a Geneva-based non-profit initiative working to establish a supranational AI governance body and legally-binding global treaty to ensure AI safety and equitable distribution of AI-derived benefits.

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.

No summary available yet.

No summary available yet.

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.

No summary available yet.

No summary available yet.

No summary available yet.

Surge AI is a data labeling and AI training data company that provides high-quality human annotation, RLHF datasets, and adversarial red-teaming services to frontier AI labs including Anthropic, OpenAI, Google, Microsoft, and Meta.

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.

No summary available yet.

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.

No summary available yet.

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.

No summary available yet.