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Artificial Intelligence's Potential to Simplify Government Procedures and Promote Better Economic Activity

EasyChair Preprint no. 13787

10 pagesDate: July 2, 2024

Abstract

Artificial intelligence (AI) has emerged as a transformative technology with the potential to revolutionize government processes and enhance economic activity. This study explores the role of AI in streamlining government operations, improving efficiency, reducing costs, and fostering a more conducive environment for economic growth.

 

Improving Operational Efficiency: The research investigates how AI technologies, such as machine learning, natural language processing, and robotic process automation, are employed to automate routine administrative tasks, optimize resource allocation, and enhance decision-making processes. By reducing manual workloads and increasing the speed and accuracy of governmental functions, AI can significantly improve operational efficiency. Case studies of AI implementations in various government departments provide practical examples of these benefits.

 

Enhancing Public Services: AI can enhance the quality and accessibility of public services, thereby improving citizen satisfaction and engagement. The study examines how AI-powered chatbots, virtual assistants, and predictive analytics are used to provide better customer service, streamline service delivery, and anticipate public needs. These innovations not only enhance the user experience but also allow governments to serve a larger population more effectively.

Keyphrases: Accountability, Artificial Intelligence, data privacy, economic growth, government processes, operational efficiency, policy recommendations, public services, sustainable development, transparency

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:13787,
  author = {Kaledio Potter and Dylan Stilinki},
  title = {Artificial Intelligence's Potential to Simplify Government Procedures and Promote Better Economic Activity},
  howpublished = {EasyChair Preprint no. 13787},

  year = {EasyChair, 2024}}
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