Advances in International Computer Science

Artificial Intelligence (AI) algorithms have been widely applied in modern data processing and analysis. However, data privacy issues have become increasingly prominent. With the popularization of AI technology, how to ensure data privacy while improving the efficiency and accuracy of algorithms has become an urgent challenge. This paper discusses the current application status of AI algorithms in data privacy protection, focuses on analyzing how technologies such as machine learning and deep learning play a role in data protection, and reveals their potential risks and challenges. In particular, it addresses hidden dangers in data breaches, algorithmic bias, and model interpretability, proposing corresponding solutions and countermeasures. Through an in-depth analysis of these issues, this study aims to provide theoretical guidance for the healthy development of AI technology.

Data privacy protection; Artificial intelligence algorithms; Machine learning; Deep Learning; Privacy risks