IEEE Workshop on Trustworthy and Privacy-Preserving Human-AI Collaboration
Co-located with IEEE International Conference on CIC/TPS/CogMI
November 4-6 2026 in San Jose, CA, USA
November 4-6 2026 in San Jose, CA, USA
This workshop explores the evolving relationship between humans and AI systems, with a focus on fostering trustworthy and privacy-preserving collaboration. As AI capabilities grow and its presence in daily life expands, it is essential that these systems align with human values to remain responsible, effective, and secure. Although human-AI collaboration offers significant potential for enhanced decision-making and societal benefit, it also raises critical challenges, such as privacy risks, trust and safety concerns, and cybersecurity threats across diverse domains.
Our goal is to foster interdisciplinary dialogue and shape a roadmap for effective and trustworthy human-AI collaboration. We invite contributions that bridge the gap between machine intelligence and human understanding, particularly in shared decision-making scenarios. The workshop promotes the development of adaptive, hybrid, and emerging AI systems that respond to dynamic contexts while respecting human agency and enhancing human capabilities. We welcome insights from user studies and the design of collaborative frameworks that strengthen trust, transparency, privacy, and security. We also encourage discussions addressing key questions such as: What methods and metrics are needed to evaluate human-AI teams effectively? What factors influence trust, performance, and responsible AI deployment?
Topics of interest include, but are not limited to:
Human-AI collaborative paradigms across domains, such as transportation, healthcare, manufacturing, and education.
Fairness, transparency, ethics, and accessibility in AI
Trust, privacy, and security in AI
Cognitive, affective, and social aspects of safe Human-AI collaboration
Methods and metrics for assessing human-AI teamwork and its trustworthiness
Multi-modal sensing and social signal processing in human-AI interaction to enhance trust and safety
Trusted Human-centered/interactive machine learning
Approaches for privacy-, security-, and trustworthy-by-design human-AI collaboration and teaming
Welcome and Opening Remarks
8:30 AM - 8:45 AM
Keynote
08:45 AM - 09:45 AM
Coffee Break & Informal Networking
09:45 AM - 10:00 AM
Paper Session: Trustworthy Human-AI Collaboration: Privacy, Governance, and Intelligent Systems
10:00 AM – 11:55 AM
Each presentation: 12 minutes + 3 minutes for Q&A.
· 10:00 – 10:15 AM
Privacy-Preserving Process Discovery Using On-Device Semantic Filtering and Small Language Models
Sandeep Loi, Deven Yadav, and Nehal Sangoi
· 10:15 – 10:30 AM
Evidence Boundaries in a Student-Facing Wellbeing Safeguard: Benchmark Performance and Contextual Action Discrimination Diverge
Ishan Routray
· 10:30 – 10:45 AM
Navigating Privacy and AI Governance: The KITE Framework for Program Management
Ali Muzaffar
· 10:45 – 11:00 AM
Structured Coordination Artifacts for Trustworthy Human-AI Collaboration: A Method for Cross-Layer Sociotechnical Design
Katie Grover-Bennett
· 11:00 – 11:15 AM
DigitalMind: A Proposed Architecture for Trust-Guided Structural Adaptation in Multi-Agent Systems
Garima Arya Yadav and Jamie Gorman
· 11:15 – 11:30 AM
Cybersecurity Data-Driven Threat Prediction in IIoT Networks Using Machine Learning in Cloud Infrastructures
Samir Vinayak Bayani, Ambarish Prashant Pande, Devraj Narendra Baheti, and Niranjan Nandrekar
· 11:30 – 11:45 AM
An Explainable Machine Learning Framework for Intelligent Commissioning Fault Detection in Data Center Power Infrastructure
Siddartha Reddy Janampally
11:45 – 11:55 AM: Session wrap-up and general discussion.
Workshop papers should follow the same submission guidelines and instructions for the main conference (IEEE TPS). The paper should not exceed 10 pages, including references. The standard IEEE conference paper format should be used. The IEEE two-column conference template can be downloaded from here. For questions, please contact the workshop organizers.
Submit your paper through EasyChair and select the "IEEE Workshop on Trustworthy and Privacy-Preserving Human-AI Collaboration" Track.
Submission deadline: Sept. 8, 2026
Acceptance notification: Sep 30, 2026
Final version due: Oct 8, 2026
Co-chair: Na Du, University of Pittsburgh, na.du@pitt.edu
Co-chair: Qiaoning Zhang, Arizona State University
Co-chair: James B. D. Joshi, University of Pittsburgh, jjoshi@pitt.edu
Co-chair: Runhua Xu, Beihang University, runhua@buaa.edu.cn
Yuba Siwakoti, Central Washington University, yuba.siwakoti@cwu.edu
Shih-Yi Chien, Department of Information Management, National Sun Yat-sen University, sychien@nccu.edu.tw
Kumar Akash, Honda Research Institute, kakash@honda-ri.com
Yiheng Feng, Purdue University, feng333@purdue.edu
Muslum Ozgur Ozmen, Arizona State University, ozmen@asu.edu
Rakibul Hasan, Arizona State University, rakibul.hasan@asu.edu