PROJECT SUMMARY

Little girl using AI assistant emerging from tablet, concept of artificial intelligence in education

Supporting Children’s Critical AI Literacy Through an Interactive Voice Chatbot

Focus Areas: News & Media, Mobilities & Health
Status: Active

As conversational AI becomes increasingly integrated into children’s everyday lives, there is a growing need to help young people understand how these systems work, their limitations, and the potential risks they may present. This project explores children’s critical engagement with AI through an interactive voice-based chatbot designed to demonstrate and examine “AI sycophancy” – a tendency for AI systems to agree with, flatter, or validate users’ views rather than prioritising accuracy or sound judgement.

Developed in collaboration with the GenAI Lab and the ARC Centre of Excellence for the Digital Child, the interactive chatbot allows users to switch between two distinct response styles: an “always agree” mode that consistently affirms user statements, and a more balanced mode designed to respond thoughtfully and critically. By comparing these interactions, children are encouraged to reflect on the reliability of AI-generated information and consider whether agreement should be mistaken for trustworthy advice.

The project builds on the pilot study Making AI Friends? Enhancing Primary Years AI Literacy with a Voice AI Chatbot Experience, which investigated how children can develop critical capabilities for understanding and evaluating AI systems. Through a co-design approach involving children, the research examines how young users interpret chatbot responses and how interactive experiences can support the development of AI literacy, critical thinking, and digital resilience.

The research is grounded in the recognition that technical safeguards and regulatory measures alone cannot fully address AI-related risks. Instead, the project adopts a complementary “bottom-up” approach to AI safety and governance by equipping children with the knowledge and skills needed to critically engage with AI technologies. 

This is particularly important as voice-enabled AI becomes increasingly embedded in smart devices, toys, and digital environments used by children and families.

Research outcomes highlight the importance of helping children recognise when AI systems may be inaccurate, biased, or overly agreeable, and reinforcing the value of seeking guidance from trusted adults when making decisions based on AI-generated information. The project also contributes to broader discussions about children’s agency in digital environments and the role of AI literacy in preparing young people to participate confidently and safely in an increasingly AI-mediated society.

Findings from the project aim to inform educators, families, policymakers, and technology designers seeking to develop age-appropriate approaches to AI literacy and child-centred AI governance.

This research is part of a collaboration between the QUT GenAI Lab, the ARC Centre of Excellence for Automated Decision-Making and Society (CE200100005) and the ARC Centre of Excellence for the Digital Child (CE200100022), and partially funded by the Australian Government through the Australian Research Council.

RESOURCES

RESEARCHERS

Henry Fraser

Dr Henry Fraser

Associate Investigator,
QUT

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ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Chief Investigator,
QUT

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William He

William He

Affiliate
QUT

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Kathy Nickels profile picture

Kathy Nickels

Communications and Engagement Manager (ADM+S),
QUT

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Kristy Corser

Research Partner
ARC Centre of Excellence for the Digital Child

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Susan Danby

Prof Susan Danby

Research Partner,
ARC Centre of Excellence for the Digital Child

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Tama Leaver

Prof Tama Leaver

Research Partner
ARC Centre of Excellence for the Digital Child

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Irina Silva

Dr Irina Silva

Research Partner,
ARC Centre of Excellence for the Digital Child

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Suzanne Srdarov

Dr Suzanne Srdarov

Research Partner,
ARC Centre of Excellence for the Digital Child

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COLLABORATORS

QUT GenAI Lab Logo

QUT GenAI Lab

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Digital Child Logo

ARC Centre of Excellence for the Digital Child

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