How can AI aid in expediting the Indian judicial processes?
Justice delayed is justice denied. Artificial Intelligence, just as in other walks of life (luxury, health, fashion), when integrated with judicial decision-making can help increase the administrative efficiency of courts and expedite access to justice, thereby improving institutional efficiency in judicial systems across the world.
The Indian judiciary adopted AI early on via the eCourts project in which the foundation for e-courts installed with basic computing hardware was laid. While the pandemic has led to a heightened discussion around the need for virtual courts and digitization, the past two years have been particularly transformative, as the Indian judiciary maximised the use of AI tech to harness its potential. In November 2019, the launch of the beta version of SUVAAS, a neural translation, officially marked the advent of AI within Indian courts. A vast number of AI tools, algorithms, and ML has been used the world over to expedite the delivery of justice. But tools for predictive justice are some of the most advanced ones being applied in the field and are aimed at limiting the arbitrariness in human decision-making and judgement. Theoretically speaking, AI can be deployed towards improving administrative efficiency in courts, decision making etc, the paper points out that towards the integration of AI into judicial systems its legal and ethical implications need to be addressed. Moreover, there must be a phase-wise execution of this transformation to AI via an implementation roadmap.
What can AI do?
To improve administrative efficiency task-specific narrow AI tools should be the approach as these would be able to resolve registry-related hassles. Judges too, would spend less time on administrative tasks and would be able to focus more on their judicial work. As in other offices, in the judiciary too, regular administrative processes can be automated using AI.
Towards improved decision-making, AI tools can be used for research and intelligent analytics, while computational tools can help in predictive justice. AI tools are capable of providing legal briefs, condensing legal research, spotting critical pointers of law and facts, and hence enabling the expedition of justice. Legal bots can be created to help litigants make informed decisions around their rights, and facilitate access to basic legal services.
Challenges: The greatest challenge in the application of AI to Indian judicial system lies in access to datasets. Judgements, even though public resources, are not available in machine readable formats, creating hindrances in the way of tech-driven solutions and AI-based algorithms. Such roadblocks should be actively removed for the transformation of the digital transformation of the Indian judicial system.
Inputs from Vidhi Centre for Legal Policy’s independent research study in collaboration with TCG-Crest titled ‘Responsible Artificial Intelligence for the Indian Justice System’.
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Prior to joining Infinite Analytics, Richard served as the CFO of CrowdFlower, COO and CFO of Phoenix Technologies, as a member of the board of directors and chairman of the Audit Committee at Intellisync, and previously as CFO and executive vice president strategy and corporate development at Charles Schwab.
Pravin Gandhi has over 50 years of entrepreneurial operational and investing experience in the IT industry in India. He was a founding partner of the first early stage fund India - INFINITY. Subsequently a founding partner in Seedfund I & II. With over 18 years of investing experience, he is extensively well networked in investment and entrepreneurial scene and is an active early stage angel investor in tech & impact space. Pravin holds a BS in Industrial Engineering from Cornell University, and serves on the board of several private corporations in India. He is on the board of SINE, IIT Mumbai Incubator.
Puru has his Masters in Engineering and Management from MIT. Prior to MIT, he worked with Fidelity Investments building electronic trading products and high volume market data processing applications. He has completed his BE from VJTI, Mumbai.
Deb Roy is Professor of Media Arts and Sciences at MIT where he directs the MIT Center for Constructive Communication, and a Visiting Professor at Harvard Law School. He leads research in applied machine learning and human-machine interaction with applications in designing systems for learning and constructive dialogue, and for mapping and analyzing large scale media ecosystems. Deb is also co-founder and Chair of Cortico, a nonprofit social technology company that develops and operates the Local Voices Network to surface underheard voices and bridge divides.
Roy served as Executive Director of the MIT Media Lab from 2019-2021. He was co-founder and CEO of Bluefin Labs, a media analytics company that analyzed the interactions between television and social media at scale. Bluefin was acquired by Twitter in 2013, Twitter’s largest acquisition of the time. From 2013-2017 Roy served as Twitter’s Chief Media Scientist.
Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He also is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), Professor by Courtesy at the Stanford Graduate School of Business and Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER).
Akash co-founded IA while studying for his MBA from MIT. Prior to MIT Sloan, he co-founded Zoonga. Before this, Akash was an engineer with Oracle in Silicon Valley. He has completed his M.S from University of Cincinnati and B.E from the College of Engineering, Pune.