Implications for Law, Ethics, and Practice Regarding AI's Contribution in Strengthening Data Privacy

Abstract

This study examines the role of AI in data privacy operations and support, adherence to legal standards, and the depth of ethical issues in the era of artificial intelligence. Outsourcing with artificial intelligence become more accurate in increasing the number of challenging data security as humans are getting alerted to the risks and vulnerabilities in data privacy. The study aims to establish whether and how AI technologies such as machine learning, anomaly detection, or even inherent capability for automatic data encryption may be useful in enhancing privacy safeguards. Furthermore, the research also addresses the question of how AI can support organisations in adhering to legal requirements in the form of regulations, such as GDPR. Besides, contextual factors of AI data privacy, such as adversarial attacks and accountabilities, are considered, and the abilities of the AI are explained. The findings show that in the recommender systems that have been suggested, privacy can be dramatically improved by employing AI. With the new opportunities and challenges that need to be addressed, the study suggests AI is the privacy of the future. This study contributes to a more thorough understanding of AI governance for companies, politicians, and academics, which is significant not only for privacy and legal experts but also for practitioners attempting to use AI systems.