The Privacy-Utility Trade-Off in Artificial Intelligence Contexts

While AI-driven technologies offer significant benefits like personalization and convenience, they simultaneously amplify privacy risks through extensive data collection. This creates a fundamental tension between the utility of a service and the privacy of its users.

To understand this challenge, we are conducting a systematic literature review to investigate how research conceptualizes this privacy-utility trade-off in AI contexts. Our analysis synthesizes findings on user attitudes, AI-specific risks, and the effectiveness of privacy-preserving technologies, aiming to identify critical gaps and provide recommendations for future theory, technology design, and policy.

Working Paper.