Law Commons^™

Privacy Aspects Of Direct-To-Consumer Artificial Intelligence/Machine Learning Health Apps, Sara Gerke, Delaram Rezaeikhonakdar

Faculty Scholarly Works

Direct-To-Consumer Artificial Intelligence/Machine Learning health apps (DTC AI/ML health apps) are increasingly being made available for download in app stores. However, such apps raise challenges, one of which is providing adequate protection of consumers' privacy. This article analyzes the privacy aspects of DTC AI/ML health apps and suggests how consumers' privacy could be better protected in the United States. In particular, it discusses the Health Insurance Portability and Accountability Act of 1996 (HIPAA), the Federal Trade Commission (FTC) Act, the FTC's Health Breach Notification Rule, the California Consumer Privacy Act of 2018, the California Privacy Rights Act of 2020, the …

The Role Of Satellites And Smart Devices: Data Surprises And Security, Privacy, And Regulatory Challenges, Anne T. Mckenna, Amy C. Gaudion, Jenni L. Evans

Faculty Scholarly Works

Strava, a popular social media platform and mobile app like Facebook but specifically designed for athletes, posts a “heatmap” with consensually-obtained details about users’ workouts and geolocation. Strava’s heatmap depicts aggregated data of user location and movement by synthesizing GPS satellite data points and movement data from users’ smart devices together with satellite imagery. In January of 2018, a 20-year-old student tweeted that Strava’s heatmap revealed U.S. forward operating bases. The tweet revealed a significant national security issue and flagged substantial privacy and civil liberty concerns.

Smart devices, software applications, and social media platforms aggregate consumer data from multiple data …