AI & COMPETITION: REGULATORY AND ENFORCEMENT PERSPECTIVES
About the Course
Artificial Intelligence (AI) is rapidly changing how markets function and how businesses compete. From algorithm-based pricing and personalised offers to automated decision-making and data-driven business models, AI is influencing competition across sectors. While these developments bring efficiency and innovation, they also raise important questions about fair competition, transparency, market power, and consumer welfare. Competition authorities and regulators around the world are increasingly required to assess how AI-driven practices fit within existing competition law frameworks. This has created a growing need for clear understanding and practical capacity-building on the interaction between AI and competition law.
In response, CIRC offers the certificate course “AI & Competition: Regulatory and Enforcement Perspectives.” The course is designed to help participants understand how AI impacts competition law and policy, using real-world examples from India and other jurisdictions. It provides a practical and policy-oriented overview of the key challenges and regulatory approaches shaping AI-driven markets today
Course Module
Introduction to Artificial Intelligence & Competition Law
Anti-Competitive Agreements in the Era of AI
Big Data, AI, and Abuse of Dominance
Regulating Algorithms: Privacy, Competition Law, and Merger Control
AI Across Industries: Sector-Specific Challenges and Opportunities
Algorithmic Accountability in Dynamic Markets and Consumer Welfare
WHO SHOULD JOIN
This course is designed for individuals seeking to understand or work at the intersection of technology, law, regulation, and policy, including
Undergraduate and postgraduate students
Legal professionals, researchers, and academicians
Policymakers, regulators, and government officials
Professionals interested in AI governance and digital regulation
Representatives from start-ups, public sector undertakings, and large corporates
LEARNING OUTCOMES
Upon successful completion of the course, participants will be able to:
Demonstrate a clear understanding of the core concepts of Artificial Intelligence and the regulatory challenges arising in technology-driven markets
Critically evaluate how competition authorities deploy AI tools in investigations, market monitoring, and enforcement processes
Analyse issues of algorithmic accountability, including the implications of overlapping competition, data protection, and sectoral regulatory frameworks
Identify and assess risks of algorithmic collusion, tacit coordination, and AI-enabled cartelisation in digital and traditional markets
Examine the role of big data and AI in shaping market power, abuse of dominance, and exclusionary conduct
Assess competition law concerns in data-driven mergers, with particular reference to privacy, consumer welfare, and innovation
Apply practical, case-based insights to analyse and address emerging competition law challenges associated with AI adoption