This page documents research publications by Satyadhar Joshi available on Impactio, a leading impact analytics and reputation management platform for researchers. The publications below are part of the Gen AI and Agentic AI Research for US Competitiveness laboratory.
AI Governance in the Era of Agentic Generative AI and AGI: Frameworks, Risks, and Policy Directions
Published in: International Journal of Innovative Research in Computer Science and Technology (IJIRCST)
Year: 2024
PDF: https://www.impactio.com/publication-attachments/2089/3632464335.pdf
Regulatory Reform for Agentic AI: Addressing Governance Challenges in Federal AI Adoption
Published: Office of Science and Technology Policy, Regulations.gov
Date: November 6, 2025
PDF: https://www.impactio.com/publication-attachments/2091/1291024869.pdf
A Comprehensive Framework for U.S. AI Export Leadership: Analysis, Implementation, and Strategic Recommendations
Published: International Trade Administration, Regulations.gov
Date: December 2, 2025
PDF: https://www.impactio.com/publication-attachments/2093/1692425876.pdf
Advancing U.S. Competitiveness in Agentic Gen AI: A Strategic Framework for Interoperability and Governance
Published in: International Journal of Innovative Science and Research Technology
Year: 2024
PDF: https://www.impactio.com/publication-attachments/2088/2239664064.pdf
Collected Research on Agentic and Generative AI Implications for U.S. Workforce, Education, and Economic Competitiveness
Published: Research Archive appearing at Department of Commerce Library
Year: 2024
PDF: https://www.impactio.com/publication-attachments/2104/775285921.pdf
Framework for Government Policy on Agentic and Generative AI in Healthcare: Governance, Regulation, and Risk Management of Open-Source and Proprietary Models
Published in: International Journal of Innovative Research in Computer Science and Technology (IJIRCST)
Year: 2025
Source: https://www.ijircst.org/DOC/1440_pdf.pdf
PDF: https://www.impactio.com/publication-attachments/2102/692097402.pdf
Regulatory Frameworks for Generative AI Enabled Digital Mental Health Devices: Safety, Transparency, and Post-Market Oversight
Published: U.S. Food and Drug Administration, Regulations.gov
Date: December 7, 2025
PDF: https://www.impactio.com/publication-attachments/2094/3249970998.pdf
| # | Publication Title | PDF Link |
|---|---|---|
| 1 | AI Governance in the Era of Agentic Generative AI and AGI | Download PDF |
| 2 | Advancing U.S. Competitiveness in Agentic Gen AI | Download PDF |
| 3 | Agentic Generative AI and the Future U.S. Workforce | Download PDF |
| 4 | A Comprehensive Framework for U.S. AI Export Leadership | Download PDF |
| 5 | Regulatory Reform for Agentic AI | Download PDF |
| 6 | Scholar-Practitioner Framework for Integrating NIST Agentic GenAI RMF | Download PDF |
| 7 | Framework for Government Policy on Agentic and Generative AI in Healthcare | Download PDF |
| 8 | Regulatory Frameworks for Generative AI Enabled Digital Mental Health Devices | Download PDF |
| 9 | Advancing Cybersecurity Through Synergies of Agentic AI and HPC | Download PDF |
| 10 | Generative AI in Investment and Portfolio Management | Download PDF |
| 11 | Collected Research on Agentic and Generative AI Implications | Download PDF |
| Category | Publications | Key PDFs |
|---|---|---|
| AI Governance & Policy | 3 | 2089, 2091, 2094 |
| US Competitiveness | 3 | 2088, 2093, 2104 |
| Scholar-Practitioner | 1 | 2101 |
| Workforce Development | 1 | 2084 |
| Healthcare | 2 | 2102, 2094 |
| Cybersecurity | 1 | 2105 |
| Financial Applications | 1 | 2103 |
| Total | 11 | 11 PDFs |
Gen AI and Agentic AI Research for US Competitiveness is a dedicated research laboratory on Impactio focused on exploring the implications of generative and agentic artificial intelligence for United States economic competitiveness, workforce development, and technology policy.
Principal Investigator: Satyadhar Joshi
Location: Independent Researcher, New Jersey, USA
Research Areas:
The Impactio platform provides permanent hosting and access to research publications, ensuring long-term availability of these PDFs for researchers, policymakers, and the public interested in AI governance, competitiveness, and workforce development. The scholar-practitioner framework paper (ID: 2101) represents a key contribution integrating NIST frameworks with financial risk management.
Satyadhar Joshi
Independent Researcher
S. Joshi conducted this work in the capacity of an independent researcher. The views expressed are solely those of the author and do not represent those of his employer or any affiliated institution.