Legal Response to The Rigidity of Discretion in Automatic Administrative Punishment
- DOI
- 10.2991/978-2-38476-277-4_99How to use a DOI?
- Keywords
- Automated administration; Administrative punishment; Rigidity of administrative discretion; Subject status; Communicative rationality
- Abstract
With the modern emerging technologies such as artificial intelligence and big data, the administrative law enforcement means have become more intelligent, and the automation level of digital administration has improved significantly. Automated administration, as its name implies, refers to the administrative activities in which specific links or all links in administrative procedures are handled by artificial intelligence without manual individual intervention, so as to realize some or all unmanned administrative activities. This paper takes automatic administrative punishment as the research object to discuss the rigid problem of discretion in automatic administrative punishment. And to strengthen the subject status of administrative organs, give discretion execution, and solve the problem of rigid discretion in automatic administrative punishment by means of communicative rationality.
- Copyright
- © 2024 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 - Huiting Hong PY - 2024 DA - 2024/09/02 TI - Legal Response to The Rigidity of Discretion in Automatic Administrative Punishment BT - Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024) PB - Atlantis Press SP - 904 EP - 909 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-277-4_99 DO - 10.2991/978-2-38476-277-4_99 ID - Hong2024 ER -