  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.
