About
SAPH-AI brings together researchers and practitioners interested in how security, agency, and privacy jointly shape human-AI interaction.
Conversational AI, generative systems, and autonomous agents increasingly process sensitive personal data, construct behavioral profiles, integrate multimodal signals, and act on behalf of users across digital environments. In doing so, they influence autonomy, decision making, and identity formation.
SAPH-AI examines privacy, security, and agency as interconnected foundations of human-AI ecosystems. The workshop focuses on privacy risks, identity inference, multimodal leakage, delegated authority, transparency, accountability, and privacy-centered design for conversational and agentic systems.
By bringing together researchers from HCI, security, privacy, AI systems, machine learning, design, and social computing, SAPH-AI aims to advance a forward-looking research agenda for secure and privacy-centered human-AI ecosystems.
Important Dates
Conference Information
Workshop Timeline
Call for Participation
SAPH-AI invites contributions from researchers and practitioners working at the intersection of conversational AI, privacy, security, HCI, AI systems, and governance.
Submission Formats
- Short position papers (2 to 4 pages, excluding references)
- Privacy-centered system prototypes
- Design provocations and early-stage research artifacts
- Conceptual, empirical, technical, policy, and design perspectives
Review Approach
- Light peer review by organizers and invited reviewers
- Evaluation of clarity, originality, interdisciplinarity, and relevance
- Emphasis on discussion value, not only maturity of results
- Space for emerging work and research in progress
Topics of Interest
- Frameworks linking privacy, identity, and agency in human-AI systems
- Privacy risks, behavioral inference, automation bias, and identity persistence
- Privacy-by-design architectures and safeguards for conversational AI
- Accountability, consent, governance, and cross-jurisdictional data stewardship
- Selective disclosure, contextual integrity, memory inspectability, and secure delegation
- Critical perspectives on disproportionate impacts for historically marginalized or vulnerable populations
Agenda
SAPH-AI is designed as a full-day interactive workshop balancing peer-reviewed research, privacy-centered system prototypes, collaborative design activities, and research agenda building.
Accessibility and Inclusion
SAPH-AI is committed to fostering an accessible, respectful, and inclusive workshop environment.
Accessible Materials and Participation
- Accessible workshop materials, alt text, and readable formatting
- Clear language and advance sharing of materials where feasible
- High-contrast presentations and accessible slides
- Support for multiple participation modes, including structured discussion and written contribution
Inclusive Community Practice
- Attention to early-career researchers and scholars from underrepresented communities
- Respectful dialogue and active moderation
- Alignment with ACM and SIGCHI codes of conduct
- Post-workshop continuity through summaries, shared documents, and follow-up collaboration
Organizers
Assistant Professor in the Information Sciences and Technology Department at George Mason University, where she leads research at the intersection of usable security, privacy, and human-centered AI. She directs the Data Agency & Security Lab and has extensive experience in interdisciplinary privacy and security research.
Senior Lecturer in the School of Computer Science and Engineering at UNSW Sydney and Director of the UNSW Online Cyber Security Program. Her work focuses on privacy, security, responsible AI, privacy-preserving systems, behavioral biometrics, misinformation, and risks from emerging AI.
Incoming PhD student in Information Science and Technology at George Mason University and current Machine Learning Specialist at Victaulic. His interests include applied AI, cybersecurity, authentication systems, identity verification, and secure AI-driven infrastructures.
Associate Professor at Northeastern University, jointly appointed in Khoury College of Computer Sciences and the College of Arts, Media, and Design. His research lies at the intersection of human-computer interaction and artificial intelligence, with a focus on human-centered AI systems.
Associate Professor of human-centered cybersecurity at DePaul University and director of the Actionable Cybersecurity & Accessibility Lab. His work focuses on usable security, misinformation, accessibility, and equitable cybersecurity education.
Professor in the School of Computer Science and Engineering at UNSW Sydney, where he leads the Information Security and Privacy research group. His research spans networked systems, cybersecurity, and artificial intelligence, with extensive leadership across IEEE and ACM venues.