Massive Open Online Courses (MOOCs)

The Cyril Shroff Centre for AI, Law and Regulation will be launching four MOOCs designed to make high-quality education on artificial intelligence, law and regulation accessible to a wider audience. Together, the courses span the legal foundations of AI, contemporary regulatory developments, the use of AI in legal practice, and advanced approaches to AI regulation, offering learners a comprehensive pathway from foundational concepts to specialised applications.

AI for Lawyers: Core Concepts and Issues

This foundational course equips lawyers and law students with an understanding of artificial intelligence and the distinctive legal questions it creates. Moving from the fundamentals of AI to its implications across intellectual property, personality rights, consumer harm, bias and discrimination, privacy, data protection and platform liability, the course provides learners with the conceptual grounding necessary to engage meaningfully with the rapidly evolving intersection of AI and law.

Course Instructors: Prof. Krishna Deo Singh and Prof. Nikhil Naren

AI: Contemporary Statutory Developments

Artificial intelligence is developing faster than traditional legal frameworks, prompting jurisdictions around the world to adopt new statutes, regulations, judicial approaches and soft-law instruments. This course provides a systematic account of emerging approaches to AI governance, beginning with an in-depth examination of the EU AI Act and its risk-based framework, before turning to developments in the United States, United Kingdom and South Korea. It concludes with a dedicated focus on India, including the RBI FREE-AI Framework and MeitY’s India AI Governance Guidelines, enabling learners to compare how different jurisdictions are responding to common challenges of AI governance.

Course Instructors: Prof. Ashwin Upreti, Prof. Souradeep Mukhopadhyay and Prof. Paavni Jain

AI Systems for Legal Practice

This practice-oriented course examines the changing relationship between artificial intelligence, legal technology and the legal profession. Moving from the technological foundations of AI to its practical applications, the course explores how AI systems are transforming corporate legal practice, litigation, legal research, contract review, client services, access to justice and court administration. It also equips learners to critically evaluate AI-enabled legal tools through the lenses of confidentiality, data security, reliability, bias and professional responsibility, with an emphasis on responsible and effective adoption of AI in legal practice.

Course Instructors: Prof. Spriha Bhandari and Prof. Arindum Nayak

Regulation of AI: A Deeper Dive

This advanced course approaches AI governance through the broader theory and practice of regulation. Beginning with fundamental questions of why and how societies regulate, it draws on behavioural economics, game theory and institutional theory before applying these perspectives specifically to artificial intelligence. Learners examine AI as a subject of regulation, the future of AI governance, regulation by design, and the challenge of balancing competing rights and interests through applied case studies.

Course Instructors: Prof. Kashish Makkar