Analysis reveals significant algorithmic bias and transparency risks in AI for judicial decision-making, suggesting a human-centered legal framework.
This abstract discusses the integration of Artificial Intelligence (AI) in judicial decision-making, highlighting both its potential benefits and significant legal and ethical challenges. Using normative and doctrinal legal analysis along with recent case studies, the study identifies key risks such as algorithmic bias, lack of transparency, and reduced judicial discretion. It emphasizes that these issues threaten fundamental legal principles and public trust. The study recommends a human-centered legal framework with transparency, procedural safeguards, and ethical oversight to ensure that AI supports rather than undermines justice.
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Indriasari et al. (2025) studied this question.
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