Abstract: 【Purpose/significance】This paper investigates the user data collection in the platform's artificial intelligence services, and explores its impact on users' willingness to give up using artificial intelligence services in the context of the rapid development of artifi⁃ cial intelligence.【Method/process】Based on the theories of information sensitivity, privacy concern and perceived risk, and combined with the analysis of user data collected by existing artificial intelligence services, a research model of artificial intelligence service abandonment intention is constructed. 352 valid questionnaires were collected through questionnaire survey, and data analysis and hy⁃ pothesis testing were carried out using SmartPLS 4.0 software.【Result/conclusion】The research found that authentication information sensitivity, device information sensitivity and financial information sensitivity positively and significantly affected privacy concerns and perceived risks, while use information sensitivity positively and significantly affected privacy concerns, but had no significant im⁃ pact on perceived risks. Privacy concern positively and significantly affected perceived risk, and perceived risk significantly affected the intention to give up using AI services, but privacy concern had no significant impact on the intention to give up using AI services. There was no significant group difference between life service platforms and social entertainment platforms.【Innovation/limitation】 This paper proposes to the platform to improve the technical system, clarify the content of the privacy policy, provide users with person⁃ alized services and other key improvement suggestions to help the platform economy healthy and sustainable development, and the sub⁃ sequent research can further expand the influence factor research perspective.