[Air-L] CFP: Societal & User-Centered Privacy in AI (SUPA)

[Daricia Wilkinson]

In an era of ubiquitous AI-driven technologies, privacy is no longer just a
legal or technical challenge—it is a deeply human concern. This workshop
invites researchers, practitioners, designers, and advocates across civil
society and regulation to explore the intersection of user-centered privacy
and AI, focusing on how individuals experience, negotiate, and resist
privacy intrusions in an increasingly AI-mediated world. As AI systems
become increasingly embedded in both public and private spaces, this
workshop will examine the role of pervasive surveillance and explore
privacy-aware AI solutions that are user-centric, including regulatory
frameworks and best practices for privacy-conscious AI adoption. By
nurturing a multidisciplinary environment, this workshop aims to create a
network of scholars committed to addressing critical issues related to
user-centered privacy across the design, development, and governance of AI.
This workshop aims to create a network of scholars committed to addressing:



- Challenges in implementing privacy measures, including issues in
Usability and User Trust and interactions with AI privacy.

- Empirical studies that gather attitudinal or behavioral insights related
to societal and personal risks of AI systems deployed in public and private
spaces, privacy expectations for AI, and privacy solutions or techniques.

- Effects of emerging AI technologies (e.g., generative AI) on the privacy
of at-risk, vulnerable or marginalized populations (e.g., persons with
disabilities, underrepresented populations, children, or gender
communities).

- Privacy-aware AI frameworks for smart and ubiquitous monitoring
environments.
The role of AI in censorship, surveillance, and AI-driven pervasive
surveillance mechanisms (e.g. facial recognition, behavioral tracking, and
widespread AI-enabled monitoring in AI-connected environments)
User-centric data governance frameworks in AI-augmented systems.

- Case studies showcasing successful user experience (UX) strategies in
privacy-preserving AI applications.
Open-source tools to demonstrate the integration of privacy measures into
AI models.

- Best practices for UX design in choosing appropriate privacy parameters
and associated trade-offs.

- Ethical considerations for AI and user privacy.

- Challenges and opportunities in improving and enforcing regulation that
protects privacy in AI.


This half-day in-person workshop solicits submissions across two
categories: (1) research papers, and (2) position papers. Potential
attendees are asked to submit by May 22nd 2025 via HotCRP. Papers should be
at most four (4) pages in length (excluding references) and should use the
SOUPS template (word or latex). Acceptance notifications will be sent by
June 5th 2025.

Submissions will be evaluated based on their relevance and potential to
generate critical discussion. Accepted submissions will be made available
on the workshop website. All participants must register and at least one
author of the accepted submission must attend the workshop. Considerations
can be made for remote participation.

This workshop is an effort to raise critical discourse about the increasing
challenges that surround AI’s integration as well as the opportunities to
utilize it to reconceptualize new pathways for privacy enhancement. To
maintain engagement, encourage reflection and stimulate ideas, the workshop
will feature a fireside chat and community discussion, and paper
presentations.

Key dates:

Deadline for submission: May 22nd 2025
Acceptance notifications: June 5th 2025
Workshop date: August 10th 2025

For more information about the workshop, please visit our website (
https://supa-workshop.github.io/supa.github.io/) or contact the
organizers.

Kind Regards,
Daricia Wilkinson (sent on behalf of co-organizers)
Assistant Professor
Arizona State University