Register here to attend in person. In collaboration with the Department of Computer Science and the Department of Electrical and Computer Engineering Users who wish to exercise privacy rights or make privacy choices must often rely on website or app user interfaces. However, too often, these user interfaces suffer from usability deficiencies ranging from being difficult to find, hard to understand, or time-consuming to use, to being deceptive and dangerously misleading. This talk will discuss user-centric approaches to designing and evaluating privacy interfaces that better meet user needs and reduce the overwhelming number of privacy choices. A privacy choice mechanism evaluation framework will be presented and several examples of privacy interface design and evaluation from my research, including more usable cookie consent banners, mobile app privacy nutrition labels, IoT privacy and security labels, and a privacy options icon for the State of California. Bio: Lorrie Faith Cranor i
CITP Distinguished Lecture Series: Alessandro Acquisti – Who Benefits from the Data Economy? Please register here to attend in person. In collaboration with the Department of Computer Science and the Department of Electrical and Computer Engineering In the public debate around privacy and the data economy, several claims have been made concerning the benefits that multiple stakeholders may accrue from the collection and analysis of consumer data. How many of those claims are empirically validated by independent research? We will review prior work and present a series of ongoing studies that aim at understanding and estimating how the economic value extracted from consumer data is being allocated to different stakeholders, and the way privacy protection may influence those allocations. Bio: Alessandro Acquisti is the Trustees Professor of Information Technology and Public Policy at the Heinz College, Carnegie Mellon University. He is an Andrew Carnegie Fellow (inaugural class), the d
Taralinda Willis never imagined she would start a company; Norman Sadeh never imagined he wouldn’t. Despite those different perspectives, both founded startups and built them into successful businesses.
Proofpoint has purchased Dathena to help organisations better understand information risk and eliminate data loss through artificial intelligence-based .
Proofpoint has purchased Dathena to help organizations better understand information risk and eliminate data loss through artificial intelligence-based data classification.