ARTIFICIAL INTELLIGENCE AND PRIVACY: INNOVATIONS AND CONCERNS IN BIG DATA APPLICATIONS
ARTIFICIAL INTELLIGENCE AND PRIVACY: INNOVATIONS AND CONCERNS IN BIG DATA APPLICATIONS
Dr. Zainab Tariq
TLDR
The innovations AI brings to big data applications are explored, focusing on privacy-enhancing technologies, while also addressing the growing concerns about personal data protection.
Abstract
Artificial Intelligence (AI) has emerged as a transformative force in various industries, enabling big data applications to gain deeper insights and enhance decision-making processes. However, the rapid adoption of AI in big data environments raises significant privacy concerns. The integration of AI algorithms with vast datasets, particularly in sectors like healthcare, finance, and security, poses challenges related to data privacy, security breaches, and regulatory compliance. This article explores the innovations AI brings to big data applications, focusing on privacy-enhancing technologies, while also addressing the growing concerns about personal data protection. Key privacy challenges are examined, and potential strategies are discussed for mitigating these risks while ensuring the effective use of AI in big data applications.
