The Integration of Artificial Intelligence in Public Policy Decision Support Systems: Applications and Challenges

Incorporating AI into public policy has the potential to change how decisions are made, whether in the fields of public health, resource management, or social welfare. This article examines the use of AI in DSS, a public policy decision support system, its benefits and disadvantages, as well as the ethics and privacy implications. By analyzing health, welfare and urban planning case studies, this report examines the efficacy of AI on measures such as precision, effectiveness, equity and engagement. In addition, the work deals with key obstacles to AI integration, such as infrastructure constraints, biases and public mistrust, that affect its acceptability and utility. This research suggests that, while AI has significant benefits, its responsible application to public policy requires a carefully calibrated strategy with an emphasis on ethical transparency, transparency and safe data collection in order to ensure public confidence and equitable results.