SUB TOPIC: A Doctrinal Analysis of Explainable AI in the Indian Judiciary.
Abstract:
Employing artificial intelligence technologies such as SUPACE and SUVAS, courts have successfully improved their operating capabilities. At the same time, the use of artificial intelligence raises concerns about breaches of constitutional rights and principles because of their “black box” feature, which contradicts the concepts of reasoning and transparency. The author maintains that XAI is crucial for safeguarding these principles and making sure that accountability becomes a legal requirement in the system of justice in India.
Introduction
Justice is a term that can be defined simply as the proper outcome of judicial decisions and procedures as well as the validity of judicial acts. The use of AI has been welcomed in the court system with such purposes as providing better execution of legal research, managing evidence documents, and preparing for lawsuits among others. The Indian judicial system does not lag behind in the application of technology with the introduction of SUPACE and SUVAS which allow the judiciary to be in control of the entire system while being assisted by AI technology. In fact, the main challenge of using AI solutions arises from the so-called black box nature of such systems which creates issues related to the ethics and law of justice. In this paper, the author is suggesting the idea of Explainable AI (XAI) as a potential solution for the problems mentioned above. The justification of this idea is based on the belief that being able to comprehend the logic behind AI technologies used will make their work more transparent and ultimately lead to fairer outcomes.
Understanding Explainable AI and the Black Box Problem
The use of artificial intelligence (AI) in law has grown as it helps with various tasks such as legal research, analysis of documents, case management, and translations of texts and phrases into other languages. However, with the advancements of AI systems, especially the ones using machine-learning technologies, the way the automated systems make decisions is not always clear and transparent, which makes them similar to “black boxes.” This poses a challenge for the legal field since lawyers have to provide valid justifications for their legal conclusions. In contrast to business activities, where business results of the work done are usually enough, legal activities need to include explanation of the legal reasoning behind the conclusions as well.
- AI in the Indian Judiciary
To modernize its operations and reduce the backlog of more than 1 million cases, the Indian judiciary is using AI technology. According to MAiB, while AI is utilized to make decisions in many nations, in India the role of AI is limited to helping courts. The e-Courts project involves digitizing records and processing legal cases online. With the help of SUPACE, the judges can summarize various judgments and have more time to think about the legal matters. At the same time, SUVAS translates legal documents into many Indian languages to make them more widely available. AI allows lawyers to analyze cases and process documents more effectively, although some experts doubt the ability of such technology to make complex decisions and to avoid mistakes.
Constitutional Foundations of Explainable AI
The Constitution of India governs the law of our land. Although it does not directly refer to AI, the principles of the Constitution can be applied when decisions are taken by AI. Explainable AI assists in achieving fairness and transparency for the use of AI in the decision-making process of the judicial process.
Article 14: Equality and Non-Arbitrariness
Article 14 of the Indian Constitution says everyone is treated equally and has equal protection under the law. Basically, the Supreme Court has said that any decision made by the state which doesn’t make sense or is not based on good reasons is a violation of this rule. This is especially a problem when a judge can’t see how a decision was made by a computer program because then it’s hard for them or the person who brought the case to figure out if all the important points were even looked at and if the info used was wrong or biased. Without an explanation, people will lose trust in the way things are being done and that will make the whole process seem unfair. Explainable AI is a way to fix this. When you use it, it tells you why a certain answer or suggestion was given. So essentially, it lets the judge really examine the thinking behind what the computer did instead of just taking its results for granted. Also, it gives lawyers a chance to spot any mistakes or biases and correct them. As a result, using XAI makes sure that the use of computers in the justice system doesn’t go against the rule that all decisions must not be made up or based on incorrect or unfair grounds.
Article 21: Fair Procedure and Due Process
According to Article 21 of the Constitution, no one can be deprived of life or personal freedom except by law. Over the years, the Supreme Court has interpreted this article widely, stating that any law should be fair, just, and reasonable. An important part of procedural justice is that the people affected by a decision will know the reasoning behind it, and the parties will have the possibility to challenge it in case of necessity. However, the principle of procedural justice may not be respected when courts decide by means of AI algorithms in cases which they do not understand. In this scenario, both judges and those who are affected by AI recommendations will not be able to understand them, which will not give them a chance to find errors, dispute their reasoning, and figure out whether the decision was bias-free or not. This problem is extremely relevant for justice in cases on bail, sentencing, and other issues that affect people’s liberty. It will ensure that final decisions remain the result of independent judicial reasoning.
Constitutional Morality and the Rule of Law
In courts, AI must be utilized in line with the Constitution and the principle of the rule of law, as long as the decision-making is based on legal rules. People must trust the judicial system because of its transparency.
Explainable AI (XAI) endorses these values by keeping people in charge.
Judicial Precedents and Legal Principles
Various landmark rulings of the Supreme Court of India have strengthened the mentioned above constitutional principles. These decisions are not unique to Artificial Intelligence but they do offer legal principles concerning fairness, non-arbitrariness, transparency, privacy and reasoned decision-making. Such principles provide a strong constitutional base for the use of Explainable Artificial Intelligence (XAI) by the Indian judiciary.
E.P. Royappa v. State of Tamil Nadu (1974)
In E.P. Royappa v. State of Tamil Nadu, the Supreme Court held that arbitrariness is the very antithesis of equality and that any arbitrary action on the part of the State is a violation of Article 14 of the Constitution. This judgment was a departure in constitutional jurisprudence in expanding the meaning of equality from formal classification to fairness in governmental action.
This principle is particularly relevant for AI-assisted judicial processes. When the AI system produces recommendations without offering reasoning, it is hard to tell if the decision was based on objective legal reasoning or whether it was affected by biased or erroneous data. Such opacity may lead to arbitrary results that are not in conformity with Article 14.
Maneka Gandhi v. Union of India (1978)
The decision in Maneka Gandhi v. Union of India significantly expanded the scope of Article 21 by holding that the procedure established by law must be fair, just, and reasonable rather than arbitrary or oppressive. The Court emphasised that fairness is an essential element of every legal process affecting individual rights.
The principles laid down in Maneka Gandhi are directly relevant to the use of AI in judicial decision-making. If an AI-assisted recommendation cannot be explained, individuals may be unable to understand how a conclusion was reached or effectively challenge potential errors. Such a process may compromise procedural fairness.
Justice K.S. Puttaswamy v. Union of India (2017)
The important ruling in case of Justice K.S. Puttaswamy v. Union of India recognized the concept of right to privacy as fundamental right under Article 21. The court observed that privacy is associated with respect of human dignity, autonomy and right to determine personal information. The ruling also recognized the need for constitutional measures to prevent individual rights from being undermined by rapid technological developments. AI is used in the justice domain mainly for analysing huge quantities of personal and legal data. There is a threat of unwanted data collection, profiling or usage of sensitive information without proper security measures. Explainable AI provides privacy safeguards via making data processing activities more transparent thus improving their accountability.
Comparative Perspective: Lessons from the European Union
The EU AI Act has established one of the most advanced legal frameworks that regulate AI technology. The Act divides AI systems that are utilized in law enforcement and administration of justice areas into high-risk category. It means that such systems need to comply with the rules of transparency, human oversight, accuracy and accountability. The purpose of this approach is to ensure that AI assists people in making decisions and does not make decisions for them.
No comprehensive AI legislation regulating the judiciary currently exists in India. The experience of the EU demonstrates the need for regulating AI technology before it becomes widely used in judicial activities. India must develop its own framework based on the standards that would fit the country’s unique constitutional and legal environment. However, incorporating principles of explainability, transparency and meaningful human oversight would help to ensure confidence in AI and the judicial system as a whole.
Challenges and Recommendations
The use of Explainable Artificial Intelligence (XAI) in India’s judiciary does have its advantages, but it also comes with considerable challenges. The complex nature of AI systems makes it difficult to grasp how they arrive at their conclusions. One of the potential drawbacks of employing algorithms is that they risk yielding unjust results based on biased information. Furthermore, the absence of legal regulations leads to uncertainty regarding accountability and transparency. There are also some complexities related to the technological aspects, such as a lack of high-speed Internet and necessary training for legal personnel. Hence, the Indian government is supposed to create a regulatory framework regarding the use of AI in the judiciary.
Conclusion
The implementation of Artificial Intelligence is likely to revolutionize the Indian judiciary by enhancing its efficiency and accessibility. Nevertheless, it is important to ensure that the implementation does not affect the basic values of the Constitution. The use of opaque and difficult to understand black-box AI systems in judicial processes may have a negative effect on the trust of people in the judiciary. Explainable Artificial Intelligence (XAI) aims to solve this problem. According to the article, the principle enshrined in Articles 14 and 21, as well as the existing precedents support the necessity of ensuring fairness and non-arbitrariness as far as the decision-making process is concerned. It is important to create a specific set of laws in India ensuring that AI serves as a supportive tool for a judge instead of a replacement.
THIS ARTICLE IS WRITTEN BY AKSHITA SETHI FROM AMITY UNIVERSITY HARYANA
REFERENCES
1. Constitution of India, Articles 14 and 21.
2. E.P. Royappa v. State of Tamil Nadu, (1974) 4 SCC 3.
3. Maneka Gandhi v. Union of India, (1978) 1 SCC 248.
4. Justice K.S. Puttaswamy (Retd.) v. Union of India, (2017) 10 SCC 1.
5. e-Courts Mission Mode Project (Department of Justice, Government of India).
6. EU AI Act (Regulation (EU) 2024/1689).
7. NITI Aayog, National Strategy for Artificial Intelligence #AIForAll (2018).
8. UNESCO, Recommendation on the Ethics of Artificial Intelligence (2021)
