Document Type
Response or Comment
Publication Date
Fall 11-7-2025
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.
Program or Discipline Name
Management, Entrepreneurship, and Business Administration
Secondary Program or Discipline Name
Computer Information Sciences
Recommended Citation
Joshi, Satyadhar. Nov 2025. Regulatory Reform for Agentic AI: Addressing Governance Challenges in Federal AI Adoption. Comment published by the Office of Science and Technology Policy, Regulations.gov, October 14. https://downloads.regulations.gov/OSTP-TECH-2025-0067-0401/attachment_1.pdf
Publication Title
Comment published by the Office of Science and Technology Policy, Regulations.gov
Start Page No.
1
End Page No.
13
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.