Leveraging Artificial Intelligence in Privacy Regulatory Processes: A Comprehensive Analysis

Abstract

This article examines the transformative role of Artificial Intelligence (AI)  in automating and enhancing the privacy regulatory compliance processes, addressing its transformative potential against inherent implementation challenges. It begins by examining the evolving global privacy regulatory landscape and progresses to analyzing AI's capabilities in data discovery and classification, where machine learning algorithms demonstrate significant advantages over traditional methods in identifying regulated information across diverse organizational environments. The article explores how Natural Language Processing (NLP) and generation capabilities can dramatically reduce documentation burdens through automated report creation and intelligent compliance monitoring. Despite these promising applications, the implementation of AI in regulatory contexts introduces substantial challenges, including algorithmic bias, complex technical integration, and emerging governance requirements. This paper offers a balanced assessment, demonstrating how AI can be leveraged to shift privacy compliance from a costly obligation to a streamlined, value-generating function, while navigating the complex ethical and technical considerations inherent in algorithmic compliance systems. Ultimately, the article argues for the necessity of developing sophisticated governance frameworks that simultaneously fulfill existing privacy obligations and establish robust requirements for algorithmic accountability within these advanced compliance systems.

DOI: https://doi.org/10.17762/ijisae.v14i1s.8227