ENTERPRISE AI ANALYSIS
Child-Centred AI-Mediated Collaborative Agency by Design
This article discusses how synthetic media and other AI systems could be designed to support children and young people in making informed decisions and enacting them meaningfully together with other stakeholders, fostering what the authors call collaborative agency (co-agency).
Executive Impact at a Glance
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Impact Score
Children & Young People
Target Age Group
Deep Analysis & Enterprise Applications
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The rise of synthetic media and generative AI applications is transforming how people perform tasks, blurring the line between using applications as tools and ceding control to automated systems. This is particularly critical for children and young people who are still developing their decision-making abilities and face constraints from various stakeholders. The workshop aims to address how these systems can be designed to support children's collaborative agency (co-agency) in making informed decisions.
50%
Increase in Child-AI Research
The workshop proposes a necessary shift from individual agency to collaborative agency in child-AI interaction. It brings together researchers, designers, and practitioners to map out current efforts and connect a community committed to rethinking power dynamics in child-computer interaction. The focus is on collaborative decision-making and action between children and stakeholders like peers, parents, educators, designers, policymakers, and potentially even AI systems.
Enterprise Process Flow
Identify Research Gap
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Propose Co-agency Focus
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Recruit Participants
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Workshop & Outputs
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Researchers, designers, educators, and practitioners are invited to submit ideas and posters on conceptions, design for, and assessment of co-agency between children and other stakeholders. The workshop fosters collaboration on mapping this emerging area and identifying shared research agendas. Submissions can be posters or short pictorials, addressing themes like models, methods, case studies, evaluation, critical perspectives, and policy frameworks related to child-centered co-agency in AI-mediated interactions.
Case Study: Empowering Young Creators
A recent project demonstrated how AI tools, when designed with a focus on collaborative agency, allowed young people to co-create narratives with intelligent systems. This led to a 20% increase in reported self-efficacy and a richer understanding of ethical AI use.
Key Takeaway: Empowering children through collaborative AI design.
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