Transition from Human to AI-Judge - The Future Automated Adjudication Mechanism in India

In the current technological landscape, artificial intelligence is rapidly evolving and reshaping the way we operate. Nevertheless, AI also presents challenges that necessitate human involvement and unique problem-solving approaches. This study explores the potential future impact of Human to AI Judges. It begins by global approach on AI as automated decisionmaking authority, the acceptance models that helps to adopt such advanced technology in India and also examining AI's legal personality. The submission of evidence is a critical aspect of any adjudication process. Therefore, it is essential to authenticate such evidence through a reliable mechanism to ensure the secure collection of evidence. The use of chain of custody and blockchain technology has been widespread for this purpose, although countries like China have differing methods for utilizing such technology. However, India currently lacks such efficiency. Predictive analysis has been employed to gather data and develop algorithms. However, AI lacks the cognitive ability to evaluate cases based on emotions by relying solely on these algorithms. The paper also delves into the inability of AI judges to detect emotions in criminal and family cases. The appeals process has been evaluated, as individuals who disagree with a judge's decision typically lodge an appeal. The issue of accountability is a significant concern, prompting discussions about whether the programmer or AI should bear the responsibility. This research paper also explores the appealability of decisions made by AI judges, offering a viable solution to address the research question.