Paper Title
Regulatory Reform for Agentic AI: Addressing Governance Challenges in Federal AI Adoption
Keywords
- Artificial Intelligence
- Agentic AI
- Regulatory Reform
- AI Governance
- Federal Policy
- Risk Management
- Compliance
Journal
Office of Science and Technology Policy, Regulations.gov
Published On
November, 2025
Downloads
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Abstract
The rapid advancement of artificial intelligence (AI), particularly agentic AI systems capable of autonomous decision-making, has exposed significant gaps in existing federal regulatory frameworks. This paper examines the regulatory barriers inhibiting AI innovation and adoption identified in the Office of Science and Technology Policy's (OSTP) Request for Information (RFI) on regulatory reform. We analyze five categories of barriers—regulatory mismatches, structural incompatibility, lack of clarity, direct hindrance, and organizational factors—and propose a comprehensive governance framework integrating technical standards, risk management protocols, and policy recommendations. Drawing from extensive literature on AI governance tools and frameworks, we present actionable solutions for modernizing federal regulations to foster responsible AI innovation while maintaining public trust and safety.
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