The Intersection of Generative AI and Wearable Health Devices: A Privacy-Focused Analysis

This study examines the privacy implications associated with the intersection of Gen-AI in wearable health devices. Wearables have the potential to revolutionize healthcare for predictive diagnoses. This technological intersection has privacy concerns. Generative AI is trained using a large amount of data that has ethical considerations. The objective of this research is to explore the privacy implications using Generative AI in wearable healthcare devices where consumer trust is concerned. The study is based on mixed method approach. Through a thorough review of literature and primary data collected from 90 wearable device users, the study highlights the dual nature of Gen AI, wearables of health monitoring and privacy concerns. The results indicate that there are security implications for the use of Generative AI in wearables. The study summarizes that users should be made aware of the privacy implications of their data collection when they use the devices regularly as the collected information is personal. It is suggested that companies developing wearable devices should aim to build transparent privacy policies in the context of consumer awareness of data protection for the use of data generated by smart devices. The study contributes to the literature on wearable devices and their data usage by revealing the impact of privacy concerns.