C3AI WORKSHOP Program

 

Workshop motivation, agenda, and organizer introductions.


Activity to facilitate attendees getting to know each other.


Participants will work in small groups to analyze real child-AI interactions, evaluate key human factors, and identify strategies for enhancing trust, engagement, and transparency in AI systems for children.



Attendees will work in small groups with different people, discussing specific scenarios of child-AI interactions. Each group will then present their reflections, principles, and guideline prompts.


How human factors influence or are affected by AI systems.


Marina Escobar Planas, recently earned her PhD in "Trustworthy AI" from the Polytechnic University of Valencia. Her research explores the distinction between trustworthy AI and users' subjective trust, with a particular focus on helping children understand the limitations of AI and manage their expectations. Notably, her work on "de-trusting" AI in specific contexts offers valuable insights into fostering trust, transparency, and ethical interactions in AI systems for young audiences.


We will refine human factors extracted from the mapping activity to create AI systems for children.


Organizers will summarize the workshop activities, with attendees providing feedback, and talk through post-workshop plans.

 

 

IDC25 Interaction Design and Children 2025

Visiting Iceland