AIPN is a bipartisan 501(c)(4) advocacy organization that lobbies the U.S. federal government to enact policies preparing America for the emergence of AGI and advanced AI systems. It brings together government leaders, technology policy experts, and technical researchers to champion human control of transformative AI.
AIPN is a bipartisan 501(c)(4) advocacy organization that lobbies the U.S. federal government to enact policies preparing America for the emergence of AGI and advanced AI systems. It brings together government leaders, technology policy experts, and technical researchers to champion human control of transformative AI.
People
Updated 04/02/26Head of Policy
Funding Details
Updated 04/02/26- Annual Budget
- $1,170,000
- Current Runway
- -
- Funding Goal
- -
- Funding Raised to Date
- -
Org Details
Updated 04/02/26The AI Policy Network (AIPN) is a bipartisan, independent 501(c)(4) social-welfare organization founded in 2024 and headquartered across Washington, DC and the San Francisco Bay Area. AIPN's mission is to ensure the United States is prepared for powerful AI systems — particularly those on the path to AGI — by advocating for proactive federal legislation and policy guardrails that keep transformative AI within the bounds of human control. The organization was established by Daniel Colson, who also founded the AI Policy Institute (AIPI), a think tank focused on public opinion research around AI risk. AIPN operates as a separate 501(c)(4) lobbying entity designed to move policy directly. The team includes Mark Beall Jr. (President of Government Affairs, former Pentagon AI Policy Director), Carrie Adams (Vice President of Government Affairs, with 10 years of Capitol Hill experience), Ethan Saxon (Vice President of Legislative Affairs), Jeff Starr (COO and Director of Development), Daniel Eth (Director of Strategy), and Peter Wildeford (Head of Policy). AIPN engages directly with members of Congress and their staff to educate policymakers about frontier AI development, AGI risk, and the need for guardrails such as datacenter security policies and AI transparency requirements. The organization builds bipartisan coalitions and also engages media to shape the national conversation around AI governance. AIPN is funded almost entirely by concerned individual donors and explicitly does not accept funding from for-profit organizations. Its 2025 operating budget was approximately $1.17 million, with roughly 65% allocated to core staff, 20% to outside lobbying firms, and 15% to legal, compliance, travel, and office infrastructure. The organization maintains minimal office space in both Washington, DC and the Bay Area.
Theory of Change
Updated 04/02/26AIPN believes that the greatest leverage point for reducing AI catastrophic risk lies in shaping U.S. federal policy before transformative AI systems are deployed at scale. By directly lobbying Congress and educating lawmakers about the risks of advanced AI — including loss of human control over AGI-level systems — AIPN aims to establish binding legal guardrails (such as datacenter security requirements and transparency mandates) that constrain dangerous AI development. The causal chain is: educate policymakers → build bipartisan political will → pass legislation → enforce safeguards on frontier AI development → reduce probability of catastrophic outcomes from uncontrolled AI.
Grants Received– no grants recorded
Updated 04/02/26Projects– no linked projects
Updated 04/02/26Discussion
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