User-centered Privacy Enhancement in AI Systems Driven by Policy and Regulatory Principles
User-centered Privacy Enhancement in AI Systems Driven by Policy and Regulatory Principles
Privacy is an essential aspect in Responsible AI, and many regional regulations (e.g., EU GDPR) have been launched to address increasing privacy concerns. In the digital world where personal information is constantly transmitted and stored through AI systems, especially via ubiquitous mobile applications, the significance of privacy enhancement cannot be underestimated. However, users often find themselves in a state where they desire to understand and control the information that digital entities own about them but feel powerless to do so. To bridge this gap and align with regulatory demands for transparency, our research focuses on the privacy policy and other privacy notices. Specifically, we conduct systematically analysis on the compliance between AI system behaviours, description in privacy policies, and high-level regulations. Additionally, we design several user-centered and context-aware privacy notices, to enhance the transparency of privacy information and make it accessible to a broader audience. Our research outcomes have been published on top-tier security and privacy conferences.
Click the link below to join the seminar at the following time
Melbourne (AEDT) : 5 Mar 2024 11:00 AM
Japan (JST) : 5 Mar 2024 9:00 AM
China (CST) : 5 Mar 2024 8:00 AM
India (IST) : 5 Mar 2024 5:30 AM
Central Europe (CET) : 5 Mar 2024 1:00 AM
New York (EST) : 4 Mar 2024 7:00 PM
Los Angeles (PST) : 4 Mar 2024 4:00 PM
Webinar passcode: 476431 (if asked when joining the seminar)
About the speaker
PhD Candidate, Australian National University
Shidong Pan is a Ph.D. student at the Australian National University and CSIRO’s Data61. He earned his B.S. and M.S. degrees at ANU in 2019 and 2021, respectively. His research broadly spans privacy and Responsible AI, focusing particularly on the multidisciplinary areas of Usable Security & Privacy, Software Engineering, and Human-Computer Interaction. Shidong’s work has led to several influential publications in prestigious venues like USENIX Security and has attracted attention and engagement from government bodies, including the Australian Competition & Consumer Commission (ACCC). He has established extensive international collaborations with CMU, Northeastern University, and Edinburgh University. Additionally, Shidong was a visiting Ph.D. student at the Centre for Research on Intelligent Software Engineering (RISE) at Singapore Management University.
Monash University values the privacy of every individual's personal information and is committed to the protection of that information from unauthorised use and disclosure except where permitted by law. For information about the handling of your personal information please see Data Protection and Privacy Procedure and the relevant Data Protection and Privacy Collection Statement that applies to you depending on the nature of your interaction with us.
If you have any questions about how Monash University is collecting and handling your personal information, please contact our Data Protection and Privacy Office at dataprotectionofficer@monash.edu.