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AI and the right to fair trial: Legal standards and technological advances

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Author: 
Rahul Kailas Bharati
Page No: 
7865-7867

The integration of Artificial Intelligence (AI) in the judicial system presents both opportunities and challenges to the fundamental right to a fair trial. This research article examines the intersection of AI technologies and legal standards, focusing on how AI applications in the courtroom impact the principles of fairness, transparency, and due process. The study analyzes current AI implementations in various jurisdictions, including risk assessment tools, predictive policing, and automated decision-making systems. It critically evaluates the potential benefits of AI in enhancing judicial efficiency and consistency while highlighting the risks of algorithmic bias, lack of explainability, and erosion of human judgment. The article proposes a framework for integrating AI into the legal system while safeguarding the right to a fair trial. This framework encompasses legislative measures, ethical guidelines, and technical standards to ensure AI systems in the judiciary are transparent, accountable, and aligned with human rights principles. The research draws on case studies, legal precedents, and interdisciplinary perspectives to address key questions: How can AI be leveraged to support rather than supplant judicial decision-making? What safeguards are necessary to prevent AI from perpetuating or exacerbating existing biases in the legal system? How can the right to a fair trial be upheld in an increasingly digitalized and automated judicial landscape?

The findings suggest that while AI has the potential to enhance the efficiency and consistency of legal proceedings, its implementation must be carefully regulated and continuously monitored to ensure compliance with fair trial standards. The article concludes by outlining future research directions and policy recommendations for the responsible development and deployment of AI in the justice system.

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