From ChatGPT to GovGPT: The Future of Digital Government

Dear Colleagues,

We invite submissions to the topic concerning the future developments of digital government, and we are specifically interested in submissions focusing on the uses of ChatGPT and other artificial intelligence (AI) technologies. Digital government or e-government refers to new government forms developed by the extensive uses of mobile internet, big data analytics, cloud computing, Internet of Things, AI, and many other information technologies (ITs), which have been substantially transforming the structures, processes, and performance of government around the world. Digital government is improving government openness and transparency, increasing government efficiency and effectiveness in public service delivery, and lowering government costs.

The astonishing performance of ChatGPT in human–machine interaction and natural language processing, among others, is attracting the attention of governments in reshaping digital government interfaces and processes. For instance, ChatGPT would help government portals and hotlines to improve citizen–state interactions. While AI has been applied in digital government for years, ChatGPT brings forth a new opportunity to rethink the future developments of digital government. To what extent could ChatGPT help improve governmental processes and performance? How should government regulate ChatGPT and its various uses? These and other research questions would be relevant to this topic.

We welcome submissions concerning the below aspects:

• The potential uses of ChatGPT in digital government;
• The impacts of ChatGPT on digital government;
• The implications of ChatGPT in digital government;
• ChatGPT and civil service recruitment and training;
• ChatGPT and government human–machine interactions;
• ChatGPT and administrative burden;
• The cybersecurity challenges of ChatGPT;
• The regulations of ChatGPT and other AI algorithms;
• Other relevant topics.

Both theoretical and empirical studies are welcome. For theoretical submissions, please develop theoretical frameworks and propositions relevant for empirical testing or practical application. For empirical submissions, they should be theoretically sound and practically significant with rigorous methodology.

Prof. Dr. Liang Ma
Dr. Yueping Zheng
Dr. Ziteng Fan
Topic Editors