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Judges versus artificial intelligence in juror decision-making in criminal trials: Evidence from two pre-registered
Eiichiro Watamura1, Yichen Liu1, Tomohiro Ioku2
1Graduate School of Human Sciences, Osaka University, Suita, Osaka, Japan.
Jurors did not prefer human judges or artificial intelligence (AI) in sentencing decisions. Mitigating circumstances influenced sentencing, but not the source of judgment, suggesting jurors may view AI and human opinions equally in legal contexts.
Area of Science:
- Legal Psychology
- Human-Computer Interaction
- Artificial Intelligence Ethics
Background:
- Artificial intelligence (AI) is expected to influence criminal trials with citizen jurors.
- Previous research indicates a reluctance to use AI in ethical decision-making.
- Limited studies compare juror reliance on human judges versus AI in legal judgments.
Purpose of the Study:
- To investigate whether jurors defer more to human judges or AI in sentencing.
- To examine this preference in cases with mitigating circumstances, where human-like reasoning is valued.
Main Methods:
- Two online experiments with Japanese participants (N=3,466 total).
- Participants evaluated murder trial vignettes and made sentencing decisions.
- Sentencing decisions were analyzed under conditions with and without mitigating circumstances.
Main Results:
- No significant preference was found for deferring to human judges or AI judgments.
- Mitigating circumstances increased suspended sentences, independent of the judgment source.
- Participants treated AI judgments comparably to human judge opinions.
Conclusions:
- Jurors do not inherently avoid algorithmic judgments in legal decision-making.
- AI opinions may be considered on par with human judges in certain trial contexts.
- Further research is needed on AI's impact on juror decision-making quality, considering objectivity and emotional factors.
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