AI ASSISTED ANTI – DUMPING INVESTIGATIONS: DATA GOVERNANCE AND ALGORITHMIC ACCOUNTABILITY IN THE INDIAN LEGAL FRAMEWORK

The accelerating integration of Artificial Intelligence (AI) into trade remedy investigations is changing how national authorities collect, process, and evaluate trade data. In India, AI-assisted tools promise to improve efficiency, accuracy, and speed in anti-dumping investigations. This strengthens protection for domestic industries against unfair trade practices. However, this technological advancement brings complex legal and policy challenges at the intersection of trade law, cyber law, and AI governance. This paper examines the Indian legal regime on anti–dumping under the Customs Tariff Act, 1975, and the Anti-Dumping Rules, 1995. Furthermore, the paper examines how AI-assisted investigations align with the obligations set by the WTO Anti-Dumping Agreement with emphasis placed on questions of transparency, procedural fairness, and evidentiary reliability, which lie at the core of trade remedies. Simultaneously, the paper discusses emerging concerns in cyber law, such as data privacy, cybersecurity, and the protection of confidential business information, as vast and sensitive trade data are subject to algorithmic analysis. The research identifies regulatory and jurisprudential gaps in both Indian law and WTO frameworks regarding secure, accountable, and bias-free AI deployment in trade remedies. The paper presents AI not merely as a tool for efficiency but as a transformative element that challenges the strength of current legal frameworks. As technological advancement and use of AI grow, the paper advances regulatory suggestions that seek to balance the adoption of technology with the imperatives of data protection, and compliance with international standards, thus contributing to the broader discourse on the future of AI in global trade governance.