Ilaria Liccardi
Research Scientist, Computer Science and Artificial Intelligence Laboratory
Illaria Liccardi is a research scientist at MIT’s Computer Science and Artificial Intelligence Laboratory. She studies privacy issues that arise from today’s technologies. Her research aims to understand why people share their personal information directly, by posting material online, or indirectly, by granting permission to services and applications. Liccardi focuses on investigating the perceived concern (or, more often, lack of concern) about possible harms and risks resulting from information-sharing behavior. Her research often involves longitudinal, in-the-wild experiments aimed at collecting in-situ actions to examine realistic usage and extrapolate people’s privacy behaviors. She aims to understand the circumstances under which we should protect personal information, with the goal of guiding the development of policies and regulations.
Publications
- Wajeeha Ahmad, Ilaria Liccardi. (2020). Addressing Anonymous Abuses: Measuring the Effects of Technical Mechanisms on Reported User Behaviors. ACM Conference on Human Factors in Computing Systems
- Midas Nouwens, Ilaria Liccardi, Michael Veale, David Karger, Lalana Kagal. (2020). Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence. ACM Conference on Human Factors in Computing Systems
- Nathaniel Fruchter, Ilaria Liccardi. (2018). Consumer Attitudes Towards Privacy and Security in Home Assistants. ACM Conference Extended Abstract on Human Factors in Computing Systems
- Max Van Kleek, Ilaria Liccardi, Reuben Binns, Jun Zhao, Daniel J. Weitzner, Nigel Shadbolt. (2017). Better the devil you know: Personalized Data Controller Indicators that Expose Data Sharing in Smartphone Apps. ACM Conference on Human Factors in Computing Systems
News
- May 17, 2016: MIT News, We know where you live.
- September 30, 2013: MIT News, Building disaster-relief phone apps on the fly.