Skip to main content

Research Common Papers on Agentic gen AI

Page 1

Title: Comment By Satyadhar Joshi Submitted to OSTP on AI Regulatory Reform Jersey

City

Nov

6:

Satyadhar Joshi, an independent researcher in artificial intelligence and regulatory policy, submitted a public comment to the Office of Science and Technology Policy (OSTP) in response to their Request for Information (RFI) on Regulatory Reform for Artificial Intelligence (FR Doc # 2025-18737, Docket OSTP-TECH-2025-0067).

The submission, posted on November 7, 2025, provides a comprehensive analysis of regulatory barriers to agentic AI adoption and proposes actionable frameworks to modernize federal AI governance while ensuring public safety and trust. The research addresses key categories of regulatory barriers, including: 1. Misalignment between human-centered assumptions and AI capabilities 2. Structural and legal framework incompatibilities 3. Lack of clarity for AI system regulation 4. Direct hindrances to AI development and deployment 5. Organizational factors affecting AI adoption This comment draws exclusively from publicly available sources such as federal regulations, academic research, technical standards, and policy frameworks. Access

the

full

submission

here:

https://downloads.regulations.gov/OSTP-TECH-2025-0067-0401/attachment_1.pdf

Keywords: OSTP, AI regulatory reform, Satyadhar Joshi, public comment, artificial intelligence governance, agentic AI, federal regulations, AI policy RFI, AI adoption barriers, U.S. government AI framework.


Turn static files into dynamic content formats.

Create a flipbook
Research Common Papers on Agentic gen AI by Satyadhar Joshi - Issuu