IEEE Workshop on Trustworthy and Privacy-Preserving Human-AI Collaboration 
Co-located with IEEE International Conference on CIC/TPS/CogMI 
November 2025 in Pittsburgh, PA

Call for Papers

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

Submission

Workshop papers should follow the same submission guidelines and
instructions for the main conference (IEEE TPS)
https://www.sis.pitt.edu/lersais/conference/tps/2025/
.
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.
https://www.ieee.org/conferences/publishing/templates.html

Submit your paper through EasyChair https://easychair.org/account2/signin?l=7661155834746278132
 and select the "IEEE Workshop on
Trustworthy and Privacy-Preserving Human-AI Collaboration" Track.

Important Dates 
Submission deadline: Aug 31, 2025
Acceptance notification: Sep 25, 2025
Final version due: Oct 10, 2025

 

For more information, please see https://sites.google.com/pitt.edu/tphac/home