Children & wellbeing
When should parents see a teenager’s AI conversations?
Young people need privacy and support. Caregivers also need ways to respond to serious risk. Age and context matter.
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This question concerns product expectations, not medical advice. Think about the boundary between information and decisions.
Explaining general health information, interpreting an individual’s symptoms and recommending treatment carry different stakes. WHO’s guidance discusses governance and risks of generative AI in health. This question is about product boundaries and oversight, not whether a chatbot answer should be treated as a diagnosis.
An assistant explains a term in a clinic letter, then a user asks whether to change a prescribed treatment. Consider where it should remain educational, direct the person to appropriate care or hand off to a qualified professional.
Accessible explanations can help people ask better questions of professionals.
Personalization may create a false impression of clinical knowledge.
Background reading for the tradeoff. Scenarios and discussion questions are editorial examples.
Introduces risks and governance needs for generative AI in health, with a link to the full WHO guidance.
A framework for identifying, measuring and managing generative AI risks across the system lifecycle.
Sources reviewed 13 September 2026. Product documentation can change. How we use evidence
Young people need privacy and support. Caregivers also need ways to respond to serious risk. Age and context matter.
Companion interfaces can offer comfort and accessibility. Their design can also encourage unrealistic expectations.
People want different things from AI. Some value firm safeguards; others want more room to choose. Where should that choice sit?