Artificial Intelligence in Public Administration in the U.S.: Lessons and Policy Implications for the Republic of Armenia

Abstract

Artificial intelligence (AI) is rapidly reshaping public administration worldwide. In the United States, AI-enabled systems support automation, predictive analytics, fraud detection, and data-driven policymaking while simultaneously raising ethical concerns related to fairness, transparency, privacy, accountability, and discrimination. This article analyzes U.S. federal frameworks for ethical AI governance, including the Blueprint for an AI Bill of Rights, the NIST (National Institute of Standards and Technology) AI Risk Management Framework, and recent Executive Orders. Their strengths, limitations, and institutional implications are assessed in comparison with global approaches. Building on this review, the article proposes a context-adapted ethical AI governance model for the Republic of Armenia. Key recommendations include the adoption of a national AI strategy, establishment of oversight institutions, improvement of data-quality systems, strengthening procurement integrity, and embedding AI ethics in civil service reforms. The paper concludes that Armenia can leverage U.S. and global best practices to develop a transparent, accountable, and citizen-centered AI ecosystem.