The Limited Potential of AI Implementation in US Courts

Eric Kim ()
Additional contact information
Eric Kim: Seoul International School, Seoul, Republic of Korea

RAIS Conference Proceedings 2022-2024 from Research Association for Interdisciplinary Studies

Abstract: With the recent surge of interest in the use of AI in generating writing that imitates human creativity, many have begun turning to AI as the ultimate solution to various social problems. Amidst rising concerns about discrimination in judicial decisions stemming from judges’ personal leanings within the US criminal justice system, employing AI as judicial judges to eliminate these biases has been considered. Although the current stage of AI and its abilities render it impossible to replace human judges, AI technology’s fast-paced development opens up future possibilities. This paper evaluates the possibility of AI, specifically GPTs, being able to act as judges in US criminal courts in the near future by assessing how effective AI can be in deciding court cases. The paper examines how AI answers currently lack validity and reliability, two key characteristics of judicial decisions, and analyzes the extent to which AI developments in the near future will be able to address these flaws so that AI may be able to produce viable judicial decisions by themselves. This research concludes that barring unforeseeably significant technological advancements, AI cannot independently act as impartial judges within a US criminal court; however, feasible developments in AI’s reliability and validity in the near future would allow AI to work in a complementary capacity alongside human judges to help improve the current judicial system.

Keywords: artificial intelligence; bias; ChatGPT; criminal justice; impartiality; judiciary; judgment (search for similar items in EconPapers)
Pages: 10 pages
Date: 2024-07
New Economics Papers: this item is included in nep-ain and nep-inv
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Proceedings of the 36th International RAIS Conference on Social Sciences and Humanities, June 6-7, 2024, pages 65-74

Downloads: (external link)
https://rais.education/wp-content/uploads/2024/07/0394.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:smo:raiswp:0394

Access Statistics for this paper

More papers in RAIS Conference Proceedings 2022-2024 from Research Association for Interdisciplinary Studies
Bibliographic data for series maintained by Eduard David ().