Checking if the AI is Safe for Children

AI Education for Children

Evaluate AI systems used by or around children for safeguarding, developmental, and ethical risk.

Colourful child-friendly trust audit interface with gradient cards, rating sliders, and a playful character

Risk Dimensions

Key areas where AI systems may pose risks to children.

Safeguarding

Is the system designed to protect children from harm, exploitation, or inappropriate content?

Developmental appropriateness

Does the system account for cognitive, emotional, and social development stages?

Autonomy and consent

Can children and guardians meaningfully consent to and control the system?

Fairness and inclusion

Does the system treat all children equitably regardless of background or ability?

Transparency

Can the system explain its decisions in age-appropriate language?

Human oversight

Do responsible adults retain meaningful control over the system?

How It Works

Four stages from scoping to actionable recommendations.

1

Define boundaries

Establish what the AI system should never do. Identify what matters most for child safety.

2

Envision better design

What would a responsible, child-centred version of this system look like?

3

Gather perspectives

Consult children directly. What do they experience? Where do they feel safe or unsafe?

4

Document findings

Compile the audit report with evidence, risk scores, and actionable recommendations.

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