With the advent of the big data era,the need for data protection methods to prevent exploitation by illegals is becoming more and more urgent.This paper looks at machine-learned methods such as differential privacy,homomorphic encryption,data desensitization,data obfuscation,and anonymization to protect the data information that people may leave behind when using AI.It also describes the content and differences between two landmark data privacy regulations:the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).The main findings of this analysis underline that the decision between these two regulations is determined by the organization’s distinctive qualities and worldwide reach.The GDPR is more protective of people’s privacy than the CCPA.To begin,the GDPR establishes stricter data protection rules than the CCPA,such as express consent,data subject rights,and data breach reporting.Second,the GDPR has a larger area of application for enterprises holding personal data that are in the EU,regardless of where the firm is headquartered.The CCPA applies solely to corporations in California;however,compliance is simpler in comparison to the GDPR.To summarize, the purpose of this article is to provide companies with the information and methods they need to make informed decisions on data privacy compliance.