The workshop will feature a fireside chat with a special guest, paper presentations, and community discussions to provide an opportunity for smaller group interactive discussion about related topics of interest, which may include methods, challenges, and future directions in Societal & User-Centered Privacy in AI. The workshop will conclude with a (non-sponsored) lunch hour to encourage networking. Our current agenda includes:
9:00 am - 9:10 am: Welcome and Introduction
9:10 am - 10:00 am: Paper Session I: User-Centered Challenges, Usability issues and Methods
The Double-Edged Sword of Synthetic Data in Emotion-AI: Balancing Privacy and Ethical Challenges
Author/s: Adam Kingsmith
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives
Author/s: Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes
The Impact of Solid-Enabled Data Sharing on Individual Data Disclosure Decisions
Author/s: Mathias Maes, Lieven De Marez, Ralf De Wolf
10:00am – 10:10 am: Lightning Presentations
10:10 am – 10:40am: Coffee Break
10:40 am – 11:30 am: Paper Session II: Tools, Measurement, and Solutions
Measuring and mitigating harms at the intersections of generative AI and image-based sexual abuse
Author/s: Natalie Grace Brigham
Privacy Notice Design in GenAI Ecosystem
Author/s: Xiaozheng Wang
Reducing Racial and Ethnic Bias in AI Models: A Comparative Analysis of ChatGPT and Google Bard
Author/s: Tavishi Choudhary
Addressing User Awareness and Consent in AI with User-Focused Privacy Threat Modeling: A Case Study Validation of the UsersFirst Framework
Author/s: Miguel Rivera-Lanas, Tian Wang, Xinran Alexandra Li, Yash Maurya, Lorrie Faith Cranor, Hana Habib, Norman Sadeh
11:30am – 12:00 pm: Fireside chat and Community Discussion with special guest Dr. Sauvik Das
12:00 pm - 12:10 pm: Reflection and Wrap up
12:10 pm: Collective Lunch