AI Solutions for Enhancing Public Policy Decision-Making

Dharani Jaganathan, Sakthivel Velusamy, Raguvaran S., R. Pavithra, Min Dugki

Abstract


AI solutions are increasingly being utilized to enhance public policy decision-making by providing data-driven insights and predictive analytics. This paper investigates various AI applications in public policy, including data analysis, simulation modeling, and stakeholder engagement. Through case studies, the paper highlights the benefits of integrating AI into the policy-making process, such as improved efficiency, enhanced transparency, and better-informed decisions. Additionally, challenges related to data privacy, bias in algorithms, and the need for cross-sector collaboration are discussed.

Keywords


AI solutions, public policy, decision-making, data analysis.

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