Privacy is critical to the responsible development of AI. However, the rapid evolution of AI, including the rapid deployment of generative AI, has resulted in new privacy risks with far-reaching societal consequences. In this half-day workshop, we aim to bring together academics, practitioners, designers, and advocates across civil society and regulation to evaluate the challenges and opportunities for user-centered privacy in AI. By nurturing a multidisciplinary environment, 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 privacy expectations for AI, 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) - 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 30th 2024 via our submission site ( https://supa2024.usenix.hotcrp.com/). Papers should be at most 4 pages in length (excluding references) and should use the SOUPS template (word <https://www.usenix.org/sites/default/files/conference-files/usenix2021_soups.doc> or latex <https://www.usenix.org/sites/default/files/conference-files/usenix2024_soups_latex-template.zip>). Shorter, more focused submissions (2-4 pages) are encouraged and authors are encouraged to ensure submissions relay the importance, relevance, and contributions of the work regardless of the length of the submission. Submissions should be anonymized following a double blind process. Acceptance notifications will be sent by June 6th 2024. 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. Please reach out to chairs if facing extenuating circumstances that would prevent in-person attendance. 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 30th 2024* • Acceptance notifications: June 6th 2024 • Workshop date: August 11th 2024 Please visit https://supa2024.usenix.hotcrp.com/ for submissions. For more information about the workshop, please visit our website (SUPA@SOUPS'24 (supa-workshop.github.io) <https://supa-workshop.github.io/supa.github.io/> or contact the organizers. On Behalf of Organizers: Daricia Wilkinson, Microsoft Research Kovila Coopamootoo, King's College London Vasanta Chaganti, Swarthmore College Florian Schaub, University of Michigan Daricia Wilkinson, Ph. D. Post Doctoral Researcher Microsoft