ARTIFICIAL INTELLIGENCE AND THE RIGHT TO PRIVACY: LEGAL CHALLENGES AND FUTURE DIRECTIONS

Abstract

This study examines the theoretical and legal implications of artificial intelligence (AI) on the right to privacy, with particular focus on emerging risks associated with data-driven technologies. The research argues that AI fundamentally transforms the traditional understanding of privacy by introducing new forms of harm, including data aggregation, predictive profiling, algorithmic inference, and mass surveillance. Using a doctrinal and comparative legal methodology, the study analyzes international frameworks such as the General Data Protection Regulation (GDPR) alongside the legal system of the Republic of Uzbekistan. The findings reveal significant regulatory gaps, particularly in addressing automated decision-making, algorithmic transparency, and inferred data. To address these challenges, the study proposes a conceptual AI Privacy Protection Model (APPM), which integrates data, processing, output, and governance layers. The research concludes that privacy must be reconceptualized as a multi-dimensional socio-technical right, requiring proactive, risk-based legal regulation.