Multi-generational family illustration

About The Workshop

Join us for a full-day workshop examining how AI shapes intergenerational family dynamics from child development to eldercare and how to design equitable, family-centered AI futures.

As AI tools become more accessible, their presence within family contexts is increasing, transforming from passive tools into active actors that shape how families communicate, learn, and care for one another. However, current AI systems are rarely designed for the family as an interconnected unit, overlooking opportunities for shared use while introducing new tensions around privacy, labor, and autonomy.

This workshop brings together researchers across AI in education, child-computer interaction, social computing, and family studies to examine these dynamics. By grounding our approach in established frameworks like Family Systems Theory and Value Sensitive Design, participants will deconstruct normative assumptions about the household and work toward defining what "family-centered AI" truly means.

Through structured group activities, we will co-construct a research and design agenda to build an interdisciplinary, collaborative community dedicated to designing an equitable, value-sensitive future for families navigating life alongside AI.


Workshop Themes

This workshop bridges sociotechnical and HCI frameworks with participatory design methods to co-construct the future for family-centered AI through three themes:

Theme 1: Defining Family-Centered AI

Grounding AI in family-centered theories — deconstructing normative household assumptions and translating frameworks like Family Systems Theory into actionable, value-sensitive design practices.

  • How should we define "family" in the context of AI, and whose voices are excluded?
  • Which sociotechnical theories best capture AI's introduction into family spaces?
  • How can theories become actionable, value-sensitive practices?

Theme 2: Intergenerational Dynamics

Examining how AI reshapes relationships across the lifespan — from children forming mental models of conversational agents, to AI-mediated eldercare, to caregivers navigating institutional conflicts.

  • How does AI reshape childhood development and aging-in-place?
  • How do families navigate conflicting AI policies between home and institutions?
  • How does AI shape or disrupt traditional family roles?

Theme 3: Futures for Family-Centered AI

Co-constructing equitable futures — scaffolding intergenerational connection, negotiating labor in family-AI systems, and building continuous governance mechanisms.

  • What policy frameworks protect family digital well-being?
  • How do we balance alleviating parental burnout against deskilling caregivers?
  • How can we support intra-family governance when members' needs conflict?

Workshop Organizers

Xiaoyi TianXiaoyi Tian
NC State University
Renkai MaRenkai Ma
University of Cincinnati
Qiao Georgie JinQiao (Georgie) Jin
NC State University
Kaiwen SunKaiwen Sun
Indiana University
Afsaneh RaziAfsaneh Razi
Drexel University
Yang ShiYang Shi
Utah State University
Bengisu CagiltayBengisu Cagiltay
Koç University
Attending remotely
Jerry Alan FailsJerry Alan Fails
Boise State University
Yubo KouYubo Kou
Penn State University

Student Assistants

Wanru Jovie LiWanru (Jovie) Li
Carnegie Mellon University

Contact

For questions about the workshop, please contact the organizers:
xtian9@ncsu.edu · renkai.ma@uc.edu · qjin4@ncsu.edu