Application of Artificial Intelligence in Public Administration
- DOI
- 10.2991/978-2-38476-475-4_155How to use a DOI?
- Keywords
- artificial intelligence; public administration; service delivery; decision-making; ethics; accountability; citizen engagement; United States; China
- Abstract
AI’s transformative impact on government can be seen in the way that different agencies automate repetitive tasks, sift through vast amounts of data, or communicate with citizens at scale. Within U. S. public administration, AI is most prevalent in-service delivery, decision support and program operations, and citizen engagement. In this respect, the primary focus lies on comparing these features from the perspective of U. S. public administration and China, while commenting on the risks associated with bias, opacity, privacy, and weak oversight highlighted within public law and ethics. Considering AI as decision support rather than decision-making. The gist of the argument is: AI is efficacious and equitable if agencies commit to applying audit-proofed processes, keeping humans in the loop and disclosing how systems affect outcomes1-7. China’s national level coordinated “smart city “programs present both scale and pace, whereas the US approach emphasizes contestability and rights. Both approaches offer something unique and valid for responsible use and scaling of AI systems.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaoyu Ding PY - 2025 DA - 2025/11/11 TI - Application of Artificial Intelligence in Public Administration BT - Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025) PB - Atlantis Press SP - 1447 EP - 1452 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-475-4_155 DO - 10.2991/978-2-38476-475-4_155 ID - Ding2025 ER -