A major nonprofit policy research organization that, through its Center on AI, Security, and Technology (CAST) and Global and Emerging Risks division, conducts influential research on AI safety, frontier model security, AI governance, and existential risk policy.

A nonprofit research organization that runs interdisciplinary fellowship and affiliate programs bringing researchers from complex systems sciences (neuroscience, ecology, economics, physics, and others) to work on AI safety and alignment research.

A nonprofit research organization focused on theoretical AI alignment research, developing formal mechanistic explanations of neural network behavior to ensure future ML systems are aligned with human interests.

A nonprofit research institute applying category theory, topos theory, and type theory to develop mathematical foundations and open-source tools for collective sense-making, collaborative modeling, and shaping technology for public benefit.

A nonprofit research organization that works to reduce societal-scale risks from artificial intelligence through safety research, field-building, and advocacy.

An African-led research program dedicated to building talent, generating impactful research, and shaping policy to advance AI safety, based in Nairobi, Kenya.

A university research lab at the University of Louisville directed by Dr. Roman Yampolskiy, one of the founders of the field of AI safety, conducting research on the theoretical limits of AI controllability, AI containment, and cybersecurity.

PauseAI is a global grassroots movement advocating for an immediate pause on the development of frontier AI systems until their safety can be demonstrated and they can be kept under democratic control.

MATS (ML Alignment & Theory Scholars) is the largest AI safety research fellowship and talent pipeline, running intensive 12-week research programs that pair fellows with leading AI alignment mentors in Berkeley and London.

A nonprofit that uses legal advocacy, including amicus briefs, impact litigation, and policy engagement, to mitigate catastrophic risks from advanced AI systems and biotechnology.

CLAIR is building the field of Law and AI Safety, producing and promoting legal scholarship on reducing catastrophic and existential risks from advanced artificial intelligence.

A nonprofit that runs fellowships and educational programs to develop expert, mission-aligned talent for AI safety research and governance.

One Month to Study, Explain, and Try to Solve Superintelligence Alignment

No summary available yet.

A project that tracks and evaluates frontier AI companies on their safety practices through a weighted scorecard, focusing on actions labs should take to avert extreme risks from advanced AI.

IASEAI is an independent nonprofit that works to ensure AI systems operate safely and ethically by shaping policy, promoting research, and building a global community around AI safety.

A Swiss non-profit think tank that develops evidence-based policy proposals on AI safety, biosecurity, and emerging technologies, bridging science, politics, and civil society for Switzerland and beyond.

A non-profit AI alignment research organization focused on agent foundations, pursuing formal goal alignment approaches that would scale to superintelligence.

A nonprofit organization based in the US and Europe that works to align AI through better governance, developing and advocating for AI governance mechanisms ranging from laws and regulations to voluntary frameworks.

A philanthropic platform and 501(c)(3) nonprofit that facilitates regranting, impact certificates, and crowdfunding for charitable projects, with a primary focus on AI safety and effective altruism cause areas.

An Israeli academic research and advocacy nonprofit focused on reducing catastrophic and existential risks through AI safety research, biosecurity policy, and standards development.

Atlas Computing is a 501(c)(3) nonprofit that maps neglected AI safety risks, sources expert founders, and prototypes solutions to scale human control over advanced AI capabilities.

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, widely regarded as one of the world's top institutions for AI and computer science research. It hosts multiple AI safety and governance programs spanning technical research, policy, and applied AI security.

A French nonprofit that develops AI risk management frameworks, independently rates AI companies' safety practices, and contributes to international AI governance standards.

Youth-led AI policy nonprofit that advances AI safety, governance, and accountability through nonpartisan legislative advocacy and public education, headquartered in Washington, DC.

Nonprofit investigating cyber offensive AI capabilities and the controllability of frontier AI models to help humanity avoid permanent disempowerment by strategic AI agents.

The legal entity behind the Centre for Long-Term Resilience (CLTR), a UK-based independent think tank working to transform global resilience to extreme risks, particularly in AI safety and biosecurity.

AE Studio is a bootstrapped technology studio and AI alignment research organization that funds neglected safety research from its software consulting profits. Their work spans brain-computer interfaces, self-other overlap fine-tuning to reduce LLM deception, and consciousness research.

Co-founder and CEO of Impact Ops, leading its work on nonprofit operations; previously held senior operations leadership roles at Effective Ventures, the Centre for Effective Altruism, and the Marine Megafauna Foundation, and now advises the SparkWell accelerator and selected high-impact projects on compliance, governance, and hiring.

Contramont Research is a nonprofit AI safety lab that studies where safety and security evaluation methods break down, using cryptographic model organisms to expose fundamental limitations of existing techniques.

Johns Hopkins University hosts AI safety-relevant research led by Prof. Anqi (Angie) Liu, whose group focuses on machine learning for trustworthy AI, including distributionally robust learning and uncertainty quantification under distribution shift.

Gregory Makoff has been a CIGI senior fellow since 2015 and is an expert on sovereign debt restructuring; he authored "Default: The Landmark Court Battle over Argentina’s $100 Billion Debt Restructuring" and previously spent over two decades advising sovereign borrowers at Citigroup and served as a senior policy adviser at the U.S. Department of the Treasury.

No summary available yet.

Executive Director of Mozilla Foundation, where she leads strategic initiatives across programs, products, and grantmaking to build a better digital future, and former CEO of investigative journalism nonprofit The Markup; widely recognized for her work on digital civil rights and technology law.

Kate McCallum is an award-winning Los Angeles-based producer, writer, and transmedia consultant who founded and serves as executive director of c3: Center for Conscious Creativity. With over 40 years of experience in the creative industries, she works at the intersection of storytelling, immersive media, and future trends in arts and entertainment and chairs the Global Arts & Media Node of The Millennium Project.

Lewis Bollard is Managing Director for Farm Animal Welfare at Coefficient Giving, where he leads the Farm Animal Welfare Fund. He joined the organization in 2015 as its first full-time staff member focused on farm animal welfare, writes the Coefficient Giving farm animal welfare Substack, and has recently appeared on the TED main stage and the Dwarkesh Podcast. Previously he worked at Bain & Company and Humane World for Animals, and he is a graduate of Harvard University and Yale Law School.

No summary available yet.

Lawrence Phillips is the co-founder and CTO of FutureSearch. He holds a PhD in Atomic and Molecular Physics from Heriot-Watt University and an MSc from Imperial College London, and previously led the AI team at Metaculus and held machine learning roles at Cambridge Consultants, GTN, Jawbone Health, and GSK.

No summary available yet.

Robert M. Gates is a principal at Rice, Hadley, Gates & Manuel LLC and formerly served as the 22nd U.S. Secretary of Defense from 2006 to 2011, the only defense secretary asked to remain in office by presidents from both parties. A career national security official, he previously served as Director of Central Intelligence and held senior roles on the National Security Council staff, and he now also serves as Chancellor of William & Mary.

No summary available yet.

Executive Director of the AI Governance and Safety Institute, working on educational materials and advertising campaigns that communicate existential risk from advanced AI to specific audiences. His public bio notes experience in machine learning, political campaigning, and having founded a startup that donated over $100,000 to effective nonprofits, as well as running large-scale outreach projects such as distributing Russian-language editions of HPMOR.

Cornelia Kutterer, LL.M., is a Senior Policy Fellow at SaferAI, where she advises the team on institutional engagement and AI governance research. She is Co-Founder and Chief Legal Officer of Scrydon, an agentic AI startup, and previously spent many years at Microsoft leading European government affairs on responsible technology, rule of law, and competition policy. She also holds part-time roles as Adjunct Professor at UC Law San Francisco and Senior Research Fellow at the Multidisciplinary Institute in AI at the University of Grenoble, focusing on AI governance and regulation.

BIML is an independent nonprofit research institute focused on machine learning security, specifically the work of building security into ML systems at the design level.

No summary available yet.

No summary available yet.

No summary available yet.

Santeri Tani is a Finnish AI safety field builder currently serving as Research Community Manager at the Center on Long-Term Risk (CLR), a London-based research organization focused on reducing s-risks from advanced AI. He studied Computer Science at the University of Helsinki and has a background spanning robotics, machine vision, health tech, and the nonprofit sector. Previously, he was the Operative Director of the Finnish Center for Safe AI (TUTKE), an organization he helped establish to advance AI safety work in Finland. He also served as co-director of Effective Altruism Finland. He has been involved in organizing technical AI safety programs including the Finnish Alignment Engineering Bootcamp, and is advancing forecasting and preparedness capabilities through the RAND Forecasting Initiative. TUTKE received Long-Term Future Fund grant funding for field-building activities in Finland.

A nonprofit that commissions and funds open, expert evaluation and quantitative rating of economics and social science research relevant to global priorities, without the constraints of traditional academic journals.