Assessing The Ethical Challenges Of AI-Driven Decision-Making In Criminal Justice

Abstract

Artificial Intelligence (AI) is increasingly integrated into criminal justice systems worldwide, influencing decisions related to policing, bail, sentencing, and parole. While AI-driven tools promise efficiency, consistency, and predictive accuracy, their deployment raises serious ethical concerns. Issues such as algorithmic bias, lack of transparency, accountability gaps, and threats to fundamental rights challenge the legitimacy of AI-based decision-making. This paper critically examines the ethical challenges associated with AI in criminal justice, evaluates their implications for fairness and due process, and emphasizes the need for ethical governance frameworks. The study adopts an analytical and doctrinal approach, drawing on existing literature, case studies, and ethical theories to assess how AI can be aligned with principles of justice, equality, and human dignity.

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