Artificial Intelligence and Intellectual Property Rights: Comparative Transnational Policy Analysis
Sahibpreet Singh, Manjit Singh

TL;DR
This paper analyzes the gaps in Indian and global intellectual property laws concerning AI-generated outputs, proposing harmonized legal frameworks to address doctrinal inconsistencies and promote equitable innovation.
Contribution
It provides a comparative doctrinal analysis of AI-related IP laws across India, US, UK, and EU, highlighting deficiencies and proposing a harmonized legal taxonomy.
Findings
India's trade secret law is fragmented and inadequate against AI threats.
Section 3(k) of Indian Patents Act restricts AI invention patenting.
Copyright law shows inconsistent authorship attribution for AI works.
Abstract
Artificial intelligence's rapid integration with intellectual property rights necessitates assessment of its impact on trade secrets, copyrights and patents. This study addresses lacunae in existing laws where India lacks AI-specific provisions, creating doctrinal inconsistencies and enforcement inefficacies. Global discourse on AI-IPR protections remains nascent. The research identifies gaps in Indian IP laws' adaptability to AI-generated outputs: trade secret protection is inadequate against AI threats; standardized inventorship criteria are absent. Employing doctrinal and comparative methodology, it scrutinizes legislative texts, judicial precedents and policy instruments across India, US, UK and EU. Preliminary findings reveal shortcomings: India's contract law creates fragmented trade secret regime; Section 3(k) of Indian Patents Act blocks AI invention patenting; copyright varies…
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Taxonomy
TopicsLaw, AI, and Intellectual Property · Intellectual Property and Patents · Digital Transformation in Law
