Privacy in Generative AI: Understanding User Concerns, Trust, and Awareness

Abstract

Generative Artificial Intelligence (GenAI) has transformed various domains, offering advanced capabilities in content generation, automation, and decision-making. However, privacy concerns remain a significant challenge, particularly regarding data security, user trust, and transparency. This paper examines user perceptions of AI privacy through a survey of 290 respondents, analyzing their familiarity with privacy risks, trust levels, and engagement with privacy policies. The results indicate a clear gap between AI adoption and privacy awareness, with many users uncertain about data handling practices. To address these concerns, AI developers must enhance transparency, integrate privacy-preserving techniques, and strengthen regulatory compliance. By prioritizing user education and ethical AI governance, a more secure and trustworthy AI ecosystem can be achieved.

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