Applications and Challenges of Large Language Models in Smart Government -From technological Advances to Regulated Applications
Ziqing Dai · 2024
This paper explores the applications and challenges of large language models (LLMs) in the context of smart government. It delves into how LLMs can enhance government decision-making, policy interpretation, and public service delivery through intelligent analysis and predictions. It also discusses the role of LLMs in processing vast amounts of government information and in analyzing public opinion. Concurrently, the paper acknowledges the challenges posed by LLMs, including data costs, security and privacy concerns, model robustness, regulatory hurdles, and technical and talent bottlenecks. It proposes recommendations for the regulated application of LLMs, such as developing robust data protection policies, standardizing model research and evaluation, fostering interdisciplinary research, and promoting integrated development across key sectors. The paper concludes with an outlook on the future of LLMs in smart government, emphasizing the need for cautious optimism and responsible innovation.