Analysis on the Problems and Solutions in Artificial Intelligence-Assisted Sentencing
- DOI
- 10.2991/978-2-38476-259-0_89How to use a DOI?
- Keywords
- Artificial Intelligence-Assisted Sentencing; Sentencing Risk; Sentencing Measures
- Abstract
Over recent years, with its robust development, artificial intelligence has been applied in more diverse and multiple scenes and fields. In judicial practices, artificial intelligence-assisted sentencing system is gradually put into application as well. Based on the premise of its “auxiliary”, the penalty measurement of this kind has the advantages of accuracy and uniformity, but there also exist some risks at the technical and legal levels meanwhile, such as algorithmic black box, algorithmic discrimination, mechanism and other problems. These risks can be avoided from the technical and legal levels. First, it is necessary to construct high-quality sentencing models and formulas and ensure the supply of high-quality data sources; second, based on the premise of auxiliary artificial intelligence, it is imperative to establish a corresponding accountability system and adopt institutional innovations, such as the “double cross-review mechanism”, in order to construct a set of reasonable artificial intelligence-assisted sentencing systems.
- 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 - Yiming Yin PY - 2024 DA - 2024/06/21 TI - Analysis on the Problems and Solutions in Artificial Intelligence-Assisted Sentencing BT - Proceedings of the 2024 3rd International Conference on Social Sciences and Humanities and Arts (SSHA 2024) PB - Atlantis Press SP - 864 EP - 876 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-259-0_89 DO - 10.2991/978-2-38476-259-0_89 ID - Yin2024 ER -