Abstract: For more than two decades since the rise of the World Wide Web, the "Notice and Choice" framework has been the governing practice for the disclosure of online privacy practices. The emergence of new forms of user interactions, such as voice, and the enforcement of new regulations, such as the EU's recent General Data Protection Regulation (GDPR) promises to change this privacy landscape drastically. In this talk, I will discuss the challenges towards providing the privacy stakeholders with privacy awareness and control in this changing landscape. I will also present our recent research on utilizing AI to analyze privacy policies and settings. Bio: Kassem Fawaz is an Assistant Professor in the Electrical and Computer Engineering department at the University of Wisconsin - Madison. He earned his Ph.D. in Computer Science and Engineering from the University of Michigan. His research interests include the security and privacy of the interactions between users and connected systems. He was awarded the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies in 2019. He also received the National Science Foundation CAREER award in 2020. His research is funded by the National Science Foundation, Federal Highway Administration, and the Defense Advanced Research Projects. His work on privacy has been featured in several media outlets, such as Wired, the Wall Street Journal, the New Scientist, and ComputerWorld. https://kassemfawaz.com/ Location: https://us.bbcollab.com/guest/e51c76fda53042b790ea62ff2d7b2895