The Impact of Public Privacy Concerns on the Acceptance of AI in Social Good Projects

This study mainly explores the relationship between the public's privacy concerns and the acceptance of artificial intelligence technology in public welfare projects driven by artificial intelligence. According to the privacy calculus model (PCM) and the technology acceptance model (TAM), the study shows that the public's privacy concerns will indirectly affect the perceived usefulness of the technology by affecting the public's perceived risks, and ultimately affect the public's acceptance of artificial intelligence technology in public welfare projects. For example, in public welfare projects such as medical care, education, and environmental protection driven by artificial intelligence, concerns about privacy leakage often reduce public trust and acceptance, affecting the advancement of projects and the development of artificial intelligence technology. On the contrary, effective privacy protection measures and open and transparent information disclosure behaviors can alleviate these concerns and increase the public's willingness to accept. The results of the study provide a theoretical framework for understanding how the public's privacy concerns in social welfare projects affect technology acceptance, and provide a basis for technology developers and policymakers to better improve technology and policies. Finally, the study proposes a strategy to balance technology development and privacy protection and reduce perceived risks while enhancing perceived usefulness.