About AIPN
What We Do
Our Mission
The AI Policy Network (AIPN) is at the forefront of advocating for federal policies that prepare America for the emergence of AI systems on the path to AGI and beyond. We focus on addressing the unique challenges posed by these systems, while ensuring an environment that enables beneficial innovation and American leadership.
Our Team
Experts at the Frontier of AI and Policy
Mark Beall, Jr.
President of Government Affairs
Mark directs AIPN’s engagements with Congress and the Executive Branch. He served as the inaugural Pentagon AI Policy Director at the DoD Joint AI Center. Mark co-authored a seminal report on frontier AI risks for the State Department and provides regular commentary on AI policy for outlets including Fox News.
Daniel Colson
Executive Director
Daniel leads AIPN to help America strategically prepare for AGI. He separately is the founder and executive director of the AI Policy Institute (AIPI), a think tank and survey research firm. AIPI’s research has helped shape national conversations and bipartisan legislation on frontier AI development, national competitiveness, and AI risk. Previously, Daniel co-founded fintech company Reserve.
Carrie Adams
Vice president of government affairs
Carrie serves as the Vice President of Government Affairs and comes to AIPN after ten years on Capitol Hill, working for the House Rules Committee, Former House Speaker Nancy Pelosi, and Senate Majority Leader Chuck Schumer. She previously worked at Meta leading the bipartisan, international public policy partnerships team.
Ethan Saxon
Vice president of Legislative affairs
Ethan manages AIPN’s legislative and policy advocacy efforts before Congress. He previously helped secure key finance legislation and tax provisions for the Mortgage Bankers Association. Ethan served as Chief of Staff for Rep. Mikie Sherrill (D-NJ), Deputy Chief of Staff for Sen. Richard Blumenthal (D-CT), and Minority Staff Director of the Senate Veterans Affairs Committee. Ethan holds a bachelor’s degree from the Australian National University and a master’s degree from Georgetown University and the U.S. Naval War College.
Jeff Starr
COO & Director of Development
Jeff leads AIPN’s operations and fundraising efforts. Previously, he co-founded Growth Accelerators, a tech go-to-market consultancy, and he founded, led, and sold a software company. He has over 20 years experience across 01Click, SAP, i2, and McKinsey.
Daniel Eth
Senior Research Fellow & Director of Content
Daniel oversees production of AIPN’s educational materials. Separate from AIPN, he researches implications of AI R&D being automated. He previously performed AI governance research at Oxford University. He holds a PhD from UCLA, as well as a BS degree and an MS degree from Stanford, all in Materials Science & Engineering.
Peter Wildeford
HEAD OF POLICY
Peter oversees AIPN’s policy agenda. Previously, he co-founded and served as the Chief Strategy Officer at the AI Policy think tank Institute for AI Policy and Strategy (IAPS). Peter is a top forecaster, as certified by top 1% performance across Metaculus forecasting competitions.
Min Goodman-Cheng
Director of Communications
As Director of Communications, Min manages AIPN’s press relations, social media, and other external communications. She comes to AIPN after five years on Capitol Hill, most recently as Communications Director for the Senate Banking and Housing Committee under Chairman Sherrod Brown. She also worked on higher education policy at the think tank Third Way.
Philip Wieczorek
Junior Associate
Philip serves as a Junior Associate at AIPN, supporting senior staff with policy research, legislative tracking, and day-to-day operations. He holds an MSc in International Social and Public Policy (Research) from LSE, where his dissertation analyzed AI automation exposure across U.S. labor markets, and an MA (Hons) in Economics and Politics from the University of Edinburgh.
Get Involved
Join us in shaping the future of AI policy. We welcome expertise from policy professionals, AI researchers, and others committed to addressing the challenges of increasingly powerful AI systems.
