Many period tracking apps promise accurate predictions and personalized insights, yet the algorithms behind them often remain a black box. With an estimated 50 million women worldwide using these apps, what happens to their data, how are predictions generated, and who is accountable when those predictions fall short?
At the event Your Cycle, Your Data & AI: Demystifying the World of Period Tracking Apps, researchers and practitioners will explore the ethical implications of AI in cycle-tracking apps. They will examine how highly sensitive health data is collected, processed, and shared, what users can and cannot know about how predictions are generated, and where responsibility lies when those predictions fall short. Drawing on research and practice, the speakers will discuss the responsibilities of the organizations developing these tools and what responsible design and use could look like.
The event is open to app users who want to better understand what happens to their data and how far they can rely on the insights these apps provide. It is also relevant for software developers, professionals working with AI, and researchers in AI ethics, as well as AI and data officers, privacy and compliance specialists, product managers in health tech, and policymakers involved in AI and data regulation.
