AI is increasingly incorporated into judicial systems globally, with applications from risk assessments in bail/parole decisions to predictive policing. While AI promises efficiency improvement and potential reduction in human bias, concerns around data bias, algorithmic inaccuracies, and ethical implications like potential violation of due process, lack of transparency, and systemic bias perpetuation also emerge. Hence, the establishment of unbiased, valid data, transparent algorithms, and accountability is crucial as we step into this new era of AI-driven legal proceedings.

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