Abstract
As artificial intelligence (AI) continues to permeate various sectors, safeguarding personal and sensitive data has become increasingly crucial. To address these concerns, privacy-enhancing technologies (PETs) have emerged as a suite of digital tools that enable data collection and processing while preserving privacy. This paper explores the current landscape of data privacy in the context of AI, reviews the integration of PETs within AI systems, and assesses both their achievements and the challenges that remain.