AI And Justice Administration In India – Possible?


Artificial Intelligence (AI) has been playing the hero in almost all sectors possibly imaginable; however implementing it within a judiciary, especially in a highly populated country like India, is a complex topic. Using AI as a service or a product, will be effectively used to ensure that cases would be addressed and justice can be efficiently rendered, shortening the whole time process. Yet, justice administration being a human oriented aspect, cannot be completely overtaken by AI as ‘glitches’ can be fatal.

Fairness to all

Ability to measure fairness solely deals with the competence of an AI device to evaluate facts and undergo a non-discriminatory decision-making process independent of potential algorithmic biases. To purely consider the possibility of technologically powering judicial functions, the AI needs to be fair. Thus, the inability to measure fairness is the primary hurdle for AI to make an impact when entering judicial decision making. 

The enumeration of principles of justice is arrived at through a ubiquitous consensus of the people in a natural state; through different learning methods, AI might be able to enumerate the attributes of fairness but philosophically fairness might be almost close to impossible since humans themselves have been erratic and reckless in this area.

AI Ethics

AI Ethics is mainly about being responsible and trustworthy. Established ethical principles for developers are a core proponent in ensuring a harmless device in the case of AI technology. However, merely presuming that data would be perfect cannot guarantee better results, as AI ethics is seldom understood by most AI ethicists.

AI Ethics should have an objective source, goal, functioning, and environment. The legal structure is often based on clear-cut ethical

AI & Judiciary Within the Curriculum

Tasks of a judge are comparatively different from several legal tasks. Despite the fact that some studies show a hope of accurate justice deliverance, it does not imply that the system is precise or capable. In corporate law, such systems might be time-saving, but simply relying on the way the results have come does not indicate that the design is perfect.  It is important to study and understand AI & Judiciary as a subject matter curriculum as the human factor must be protected no matter what. 

Automated fairness is impossible to be achieved often as ML-based systems neither know how to explain nor know how to digest the information they learn. Thus, a mere idealistic approach to estimate things would not take the initiative further.

Automated and semi-automated legal reasoning tools have their reservations which need to be addressed. Instances of human error in the conviction of innocent people have been and still are predominant within human-led judicial systems all over the world. Given that, AI powered justice administration can be risky and illogical. Possibilities of pre-programmed verdict deliverances should be adopted only in cases as such. A tech-savvy world that our world has become now can be intimidating to contradictions.

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