Navigating the Privacy Landscape of AI on Devices - Challenges and Best Practices

Explore the complex intersection of device-specific AI and privacy considerations in this 15-minute conference talk from PEPR '24. Delve into the unique challenges posed by AI models utilizing sensitive device and sensor data, including issues of data collection, usage transparency, model security, and user control. Learn about frameworks and guidelines for responsibly handling user data while leveraging the power of AI on personal devices such as mobile, wearable, and smart home technologies. Gain insights from Google experts Tousif Ahmed and Mina Askari as they discuss best practices for balancing the extraordinary opportunities for personalized user experiences with the critical need to protect sensitive user information in the rapidly evolving landscape of AI on devices.

PEPR '24 - Navigating the Privacy Landscape of AI on the Devices: Challenges and Best Practices