C3AI
Child-centered Interaction and Trust in Conversational AI
What human factors shape children's subjective feelings of trust and distrust towards AI? How can we create trustworthy AI systems that not only foster positive relationships but also help children understand AI limitations and manage their expectations?
The C3AI workshop focuses on fostering trust in child-AI interactions, emphasizing the importance of children critically engaging with AI to understand its capabilities and limitations. Although Conversational AI (CAI) systems like ChatGPT are not specifically designed for children, their increasing use by children highlights the urgent need to create ethical, transparent, and empathetic interactions. The workshop explores human factors—cognitive, emotional, and cultural—that shape trust and collaboration, aiming to develop new or improving existing child-centred frameworks that prioritize reliability, safety, and ethical responsibility. Participants will contribute to creating AI systems that empower children to navigate technology thoughtfully and responsibly.
Important Dates
Workshop Day
June 23, 2025 - Half Day
Location
University of Reykjavík in Iceland
Submissions Due
Submission Deadline: April 15, 2025
Submission Deadline: April 30, 2025
Notification of Acceptance
Notification of Acceptance: May 14, 2025
Final Version Due: May 21, 2025
Format
Where to submit
Contact
For any questions, please contact Grazia Ragone grazia.ragone@uniba.it
Submitting a position paper is not a requirement for participants. We also invite observers to attend the workshop, who may not submit papers but are interested in contributing to and learning from the discussions and activities.
C3AI 2025
This workshop offers a hands-on opportunity to explore the human factors in child-CAI interactions, focusing on trust-building, child-centred AI design, and fostering critical thinking about AI’s limitations. Participants will analyze pre-recorded child-CAI interactions, examining emotional and cognitive aspects such as adaptability and mutual understanding. Pre-workshop studies on child-AI collaboration in five countries, approved by the university’s ethics committee, will provide valuable insights into cultural and social influences. This workshop represents a significant step in advancing our research on how human factors shape the collaborative relationship between children and AI, ultimately contributing to the development of ethical, transparent, and empathetic AI systems for children.
Organizer
Grazia Ragone
Zhen Bai
Judith Good
Arzu Güneysu
Elmira Yadollahi
