With the widespread attention and application of artificial intelligence (AI) and blockchain technologies, privacy protection techniques arising from their integration are of notable significance. In addition to protecting privacy of individuals, these techniques also guarantee security and dependability of data. This paper initially presents an overview of AI and blockchain, summarizing their combination along with derived privacy protection technologies. It then explores specific application scenarios in data encryption, de-identification, multi-tier distributed ledgers, and k-anonymity methods. Moreover, the paper evaluates five critical aspects of AI-blockchain-integration privacy protection systems, including authorization management, access control, data protection, network security, and scalability. Furthermore, it analyzes the deficiencies and their actual cause, offering corresponding suggestions. This research also classifies and summarizes privacy protection techniques based on AI-blockchain application scenarios and technical schemes. In conclusion, this paper outlines the future directions of privacy protection technologies emerging from AI and blockchain integration, including enhancing efficiency and security to achieve a more comprehensive privacy protection of privacy.

翻译：随着人工智能（AI）与区块链技术的广泛关注与应用，两者融合产生的隐私保护技术具有显著意义。这些技术不仅保护个人隐私，更确保数据的安全性与可靠性。本文首先概述AI与区块链技术，总结其融合方式及衍生的隐私保护技术；继而探究数据加密、去标识化、多层分布式账本及k-匿名方法等具体应用场景。此外，本文从授权管理、访问控制、数据保护、网络安全及可扩展性五个关键维度评估AI-区块链融合隐私保护系统，剖析其缺陷及根本原因并提出相应建议。本研究还依据AI-区块链应用场景与技术方案对隐私保护技术进行分类归纳。最后，本文展望AI与区块链融合催生的隐私保护技术未来发展方向，包括提升效率与安全性以实现更全面的隐私保护。