RT Article
T1 Content Analysis of Judges’ Sentiments Toward Artificial Intelligence Risk Assessment Tools
JF Criminology, criminal justice, law & society
VO 24
IS 2
SP 31
OP 46
A1 Fine, Anna
A2 Le, Stephanie
A2 Miller, Monica K.
LA English
YR 2023
UL https://krimdok.uni-tuebingen.de/Record/1869686136
AB Artificial intelligence (AI) uses computer programming to make predictions (e.g., bail decisions) and has the potential to benefit the justice system (e.g., save time and reduce bias). This secondary data analysis assessed 381 judges’ responses to the question, "Do you feel that artificial intelligence (using computer programs and algorithms) holds promise to remove bias from bail and sentencing decisions?" The authors created apriori themes based on the literature, which included judges’ algorithm aversion and appreciation, locus of control, procedural justice, and legitimacy. Results suggest that judges experience algorithm aversion, have significant concerns about bias being exacerbated by AI, and worry about being replaced by computers. Judges believe that AI has the potential to inform their decisions about bail and sentencing; however, it must be empirically tested and follow guidelines. Using the data gathered about judges’ sentiments toward AI, we discuss the integration of AI into the legal system and future research.
NO Literaturverzeichnis: Seite 39-43
K1 algorithm appreciation
K1 algorithm aversion
K1 Artificial Intelligence
K1 Community sentiment
K1 decision-making tools
K1 Judges
K1 Legitimacy
K1 Procedural Justice
DO 10.54555/CCJLS.8169.84869