Measuring Privacy Literacy on Generative AI: A Pilot Study of Generation Z

Abstract

As generative artificial intelligence systems such as ChatGPT, Gemini, and Midjourney become integral to the digital lives of Generation Z, understanding users' privacy literacy is essential for improving AI platform transparency and usability. This study proposes the DCPS (Declarative, Cognitive and Procedural Score) framework to assess AI privacy literacy. The DCPS framework measures privacy literacy in three dimensions: Declarative Knowledge (factual understanding of data practices), Cognitive Knowledge (evaluation of privacy risk, control, and trust), and Procedural Knowledge (practical skills in managing privacy settings) and establishes a 0-10 composite score indicating total privacy literacy. A pilot study of 73 university students provided an empirical baseline for Generation Z's AI privacy literacy. Results show low declarative knowledge and cognitive awareness of privacy risks, but very low procedural competence, revealing a substantial gap between awareness and action. The DCPS privacy literacy framework in AI contexts provides valuable guidance to help improving transparency, user education, and privacy-centered design in generative AI systems.

Ähnliche Arbeiten