The Promise of Machine Learning for the Courts of India

Abstract

The paper focuses on the potential of Artificial Intelligence (AI) systems to improve data quality and the processes of justice themselves. The set of applications does not feature AI systems as replacements for human decision-makers. Rather, they help improve human decision-making capacity and productivity. Researchers argue that the integration of machine learning tools with newly available legal data offers a mechanism to identity biases in judicial behaviour and propose real-time corrections for these behaviours, thereby streamlining the system and reducing backlog. Such tools can also identify discrimination and bias, even when these are not evident to the participants in the courts themselves, thereby strengthening the credibility of the judiciary. Researchers assert that the systems be leveraged to aide and improve human decision-making within the system. They believe that the adoption of AI systems stimulates reflection on questions that are truly fundamental to the systems of justice and the benefits of the system are considerable when leveraged in a careful and ethical way This output is part of the Economic Development & Institutions (EDI) programme