THE ROLE OF ARTIFICIAL INTELLIGENCE IN PRIVACY-PRESERVING DATA PROCESSING
THE ROLE OF ARTIFICIAL INTELLIGENCE IN PRIVACY-PRESERVING DATA PROCESSING
Dr. Faisal Khan
TLDR
The critical role of AI in addressing privacy issues within data processing systems, including techniques such as differential privacy, federated learning, and homomorphic encryption are explored, to effectively balance the need for data access with the imperative of privacy protection.
Abstract
The integration of Artificial Intelligence (AI) in privacy-preserving data processing has become a focal point in safeguarding personal information while ensuring data utility. As the volume of data generated across various industries increases, traditional data protection mechanisms often fail to cope with emerging privacy concerns. This article explores the critical role of AI in addressing privacy issues within data processing systems, including techniques such as differential privacy, federated learning, and homomorphic encryption. By employing AI-driven methods, organizations can effectively balance the need for data access with the imperative of privacy protection. The paper also evaluates the challenges and limitations in deploying AI for privacy preservation, highlighting the potential risks associated with AI algorithms, ethical considerations, and regulatory frameworks.