A nonprofit that develops and advocates for pragmatic policies to reduce the risk of severe harm from advanced AI, promoting transparency, accountability, and safe development through state and federal legislation.
A nonprofit that develops and advocates for pragmatic policies to reduce the risk of severe harm from advanced AI, promoting transparency, accountability, and safe development through state and federal legislation.
People
Updated 05/18/26Policy Director
Co-founder and CEO
Policy Director
Co-founder and Senior Policy Advisor
Senior Policy Analyst
Funding Details
Updated 05/18/26- Annual Budget
- -
- Current Runway
- -
- Funding Goal
- -
- Funding Raised to Date
- -
Org Details
Updated 05/18/26The Secure AI Project is a 501(c)(4) nonprofit organization founded in December 2024 by Nick Beckstead and Thomas Woodside. Based in San Francisco, California, the organization develops and advocates for pragmatic policies aimed at reducing the risks of severe harm from advanced AI systems. The organization's policy agenda centers on three pillars: requiring major AI developers to be legally mandated to publish safety and security protocols, protecting whistleblowers who reveal unsafe or noncompliant practices at AI companies, and creating clear incentives for developers to mitigate risk in accordance with industry best practices. They explicitly target only the largest AI companies, not smaller developers or startups. Secure AI Project has been actively engaged in legislative advocacy across multiple states. They co-sponsored California's SB 53 (the Transparency in Frontier Artificial Intelligence Act), which was signed into law in September 2025 as the first U.S. statute focused on AI safety. They also supported New York's RAISE Act, which was signed into law, and have backed bills in Michigan, Illinois, Utah, Nebraska, Tennessee, Massachusetts, and Colorado. Their legislative efforts have been bipartisan, working with both Democratic and Republican sponsors. The team is led by CEO Nick Beckstead, who previously served as Policy Lead at the Center for AI Safety, CEO of the FTX Future Fund, and as an early employee and Program Officer at Open Philanthropy. He holds a PhD in Philosophy from Rutgers University. Co-founder Thomas Woodside previously worked as a policy analyst at the Center for AI Safety and as a junior fellow at Georgetown's Center for Security and Emerging Technology. He holds a bachelor's degree in Computer Science from Yale University and is pursuing a master's in Security Studies from Georgetown University. Other team members include Lily Sands (Chief of Staff), Emily Soice (Operations Manager), Scott Wisor (Policy Director, previously at Minerva University and University of Birmingham), Howie Lempel (Policy Director, previously at Open Philanthropy and 80,000 Hours), and Andrew Doris (Senior Policy Analyst). The organization does not accept corporate funding or funds from foreign governments, relying instead on individual donors and nonprofit institutions. They also have a sister 501(c)(3) organization called the Foundation for Secure AI.
Theory of Change
Updated 05/18/26The Secure AI Project believes that the largest AI developers need legally binding transparency and safety requirements to adequately manage the severe risks posed by frontier AI systems. By advocating for state and federal legislation mandating safety protocol disclosure, whistleblower protections, and adherence to industry best practices, they aim to create a regulatory environment where the biggest AI companies are held publicly accountable for their safety practices. Their theory is that transparency requirements will drive better safety behavior among frontier AI developers, that whistleblower protections will surface safety concerns that might otherwise be suppressed, and that these combined forces will reduce the probability of catastrophic harm from advanced AI.
Grants Received
Updated 05/18/26Projects– no linked projects
Updated 05/18/26Discussion
Key risk: By prioritizing transparency mandates and whistleblower protections for the largest labs, their wins may mainly produce procedural compliance and lock in industry-defined “best practices,” risking weak substantive constraints and potential federal preemption—limiting counterfactual x-risk reduction even if many bills pass.
Case for funding: As a lean 501(c)(4) with seasoned EA policy operators who have already helped pass the first U.S. AI safety statute (CA SB 53) and the NY RAISE Act, Secure AI Project is uniquely positioned to scale bipartisan, binding transparency and whistleblower protections targeted at frontier labs, creating near-term legal pressure and templates that can ratchet safety norms and inform stronger federal rules.