Navigating the Intersection of AI and Privacy Law: Addressing Emerging Challenges in Data Governance

Abstract

This article investigates the critical convergence of artificial intelligence (AI) technologies and privacy law, highlighting the increasing legal vulnerabilities in data governance frameworks. Employing a mixed-methods approach, including case studies and quantitative analysis of recent legal rulings, the study reveals significant gaps in existing legal paradigms that fail to adequately protect privacy rights in the AI context. The empirical findings demonstrate a troubling trend of rising litigation in privacy violations linked to AI implementations. The research identifies key parameters that necessitate legal reform, including the evolving nature of data collection methods and the inadequacies of current regulatory responses. Ultimately, this work aims to provide actionable insights for policymakers and legal practitioners in adapting legal structures to better safeguard individual privacy rights within an AI-driven landscape.