Application and risk analysis of artificial intelligence algorithms in data privacy protection
人工智能算法在数据隐私保护中的应用与风险分析

摘要

人工智能（AI）算法在现代数据处理和分析中得到了广泛应用，数据隐私问题日益突出。随着AI技术的普及，如何在保障数据隐私的同时提高算法的效率和精度，成为亟待解决的难题。本文探讨了AI算法在数据隐私保护中的应用现状，重点分析了机器学习和深度学习等技术如何在数据保护中发挥作用，同时也揭示了其潜在的风险与挑战。特别是在数据泄露、算法偏见以及模型解释性等方面的隐患，提出了相应的解决方案和应对策略。通过对这些问题的深入分析，旨在为AI技术的健康发展提供理论指导。

Abstract

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.