AI in Public Policy: Enhancing Decision-Making and Policy Formulation in the U.S. Government

Abstract

The integration of artificial intelligence (AI) in public policy represents a transformative opportunity for enhancing decision-making processes and policy formulation within the U.S. government. This paper explores how AI technologies can analyze vast datasets, predict outcomes, and provide insights that inform policy decisions. By employing machine learning algorithms, natural language processing, and data analytics, policymakers can harness real-time information to address complex societal challenges more effectively. The study discusses various applications of AI in public policy, including resource allocation, risk assessment, and citizen engagement, while also examining the ethical implications and potential biases inherent in AI systems. Furthermore, the paper highlights successful case studies where AI has improved policy outcomes, emphasizing the need for comprehensive frameworks to govern AI deployment in public sector applications. Ultimately, this research advocates for a strategic approach to integrating AI into public policy, aiming to foster transparency, accountability, and inclusivity in the decision-making process.