AI and Data Privacy Issues: Ethical, Legal, and Technological Challenges in the Digital Era

Abstract

Introducing data-driven decision making, automation of actions, and predictive analytics in industries.The increasing reliance on large volumes of data, however, especially personal and sensitive data has heightened the discussion on data privacy. In this article, critical evaluation of the ethical, legal, and technological issues surrounding AI-driven data processing in the contemporary world will be carried out. It addresses the topics of surveillance, algorithmic bias, data breach, consent process, and crossborder data regulatory framework. Additionally, the article analyses international regulatory policies and privacy-saving technological advancements aimed at reducing the risks. The article provides a multidisciplinary approach to the issue of balancing innovation and basic privacy rights, relying on real-world case studies and new policy trends to make the argument.