Enhancing Transparency and Accountability in Federally Funded Nonprofits: A Convergent Framework Integrating Artificial Intelligence Analytics and Blockchain Technology

Authors

• David A. Oduro, Gulf of Maine Research InstituteFollow
• Vida Adeti, Sallie MaeFollow

Keywords

artificial intelligence, blockchain technology, federal grants management, nonprofit accountability

Abstract

This study examines how artificial intelligence (AI) and blockchain technology address persistent challenges in federal nonprofit grant management. Through systematic analysis of government pilot programs and nonprofit technology adoption patterns, we develop an integrated implementation framework. Treasury Department and National Science Foundation blockchain prototypes demonstrate 40% reductions in administrative burden, with report generation decreasing from 40 staff-hours to seconds. Nonprofit AI adoption reached 92% by 2026, though significant disparities exist between large organizations (58% using AI for data analytics) and small nonprofits (19%). Drawing on interviews with federal agencies and grant recipients, this research identifies technical capacity constraints, regulatory complexity, and stakeholder trust as critical barriers. The proposed phased adoption model prioritizes mission alignment, iterative learning, and equity considerations while addressing federal standardization needs, nonprofit capacity building, and legal framework development.

Recommended Citation

Oduro, David A. and Adeti, Vida (2026) "Enhancing Transparency and Accountability in Federally Funded Nonprofits: A Convergent Framework Integrating Artificial Intelligence Analytics and Blockchain Technology," Journal of Nonprofit Innovation: Vol. 6: Iss. 1, Article 12.
Available at: https://scholarsarchive.byu.edu/joni/vol6/iss1/12