ARTIFICIAL INTELLIGENCE IN FOOD SAFETY GOVERNANCE: EMERGING APPLICATIONS, REGULATORY CHALLENGES, AND THE INDIAN EXPERIENCE
AUTHOR – ANILKUMAR B. PRAJAPATI* & DR. RAKHI KATARIA**
* RESEARCH SCHOLAR, SCHOOL OF LAW, GUJARAT UNIVERSITY, AHMEDABAD
** ASSOCIATE PROFESSOR, MOTILAL NEHRU LAW COLLEGE, AHMEDABAD
BEST CITATION – ANILKUMAR B. PRAJAPATI & DR. RAKHI KATARIA, ARTIFICIAL INTELLIGENCE IN FOOD SAFETY GOVERNANCE: EMERGING APPLICATIONS, REGULATORY CHALLENGES, AND THE INDIAN EXPERIENCE, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 6 (9) OF 2026, PG. 934-939, APIS – 3920 – 0001 & ISSN – 2583-2344.
Abstract
The integration of Artificial Intelligence into the governance of food safety in India is one of the most transformative developments in food safety regulation in the country in the 21st century. The Food Safety and Standards Act, 2006 (FSSA), and its regulatory body, the Food Safety and Standards Authority of India (FSSAI), provide the regulatory framework for food safety in India. The integration of AI into this framework will allow the authority to improve food safety through increased traceability of food products, increased efficiency in detecting food hazards, and reduced regulatory burdens on food businesses. This article aims to review how AI can be incorporated into food safety in India through the use of predictive analytics, machine learning to detect adulteration, computer vision to assess product quality, blockchain-AI systems to trace products, and natural language processing to monitor regulatory compliance. Furthermore, this article will review the gaps within current food safety regulations in India regarding AI. Finally, by comparing the approaches to AI regulation in the European Union, the United States, and China, this article will propose a framework for AI in food safety regulation in India that is compliant with the country’s constitution, specifically Article 21 and Article 47.
Keywords: Artificial Intelligence, Food Safety, FSSAI, Machine Learning, Regulatory Governance, India, Food Adulteration, Traceability, Algorithm.