Concern 595 · Working draft · editorial review in progress
Advertising targeting minors
AI-personalized advertising to minors can use a child's data or inferred interests to shape persuasive commercial messages.
Understanding the concern
Advertising is easier to recognize when it is clearly separate from the activity a child came for. A recommendation inside a conversation may feel more like advice from a helper. The concern is that personalization and a trusted tone can make the commercial purpose harder to understand.
A child-centered design should make sponsorship visible and avoid exploiting developmental vulnerabilities. US privacy rules place specific requirements on covered services' handling of children's data, but not every teenager or setting falls under the same rule. Platforms should be able to explain why an advertisement appeared and what information influenced it.
An example
A child receives a product suggestion from an assistant without a clear sign that it is advertising.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Inference
- Drawing a conclusion from clues. In AI engineering it can also mean running a trained model to produce an output.
Evidence and its limits
The sources provide regulatory and rights-based principles. They do not establish that every personalized advertisement is unlawful or harmful.
Federal Trade Commission · Regulatory guidance
Children's Online Privacy Protection Rule: A Six-Step Compliance Plan for Your Business ↗ (opens in a new tab)US COPPA requirements for covered services and children under 13; not universal coverage of all teenagers or jurisdictions.
UNICEF Innocenti · December 2025 · Rights-based guidance
Guidance on AI and children, version 3.0 ↗ (opens in a new tab)Child-centered design recommendations; not a causal study of developmental harm from all AI use.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
How should an AI service make commercial persuasion recognizable to a young user?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Dignity
Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.
Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.
Ask together: Does this use treat each person as someone whose experience matters?
Listening
Listening means trying to understand someone's experience before preparing an answer. People who use a service, work with it, or are judged by it may notice problems its designers miss.
Invite people to describe what happened in their own words. Repeat back what you understood and let them correct it. A quiet person or a complaint that is hard to measure may still reveal something important.
Ask together: Whose experience have we not heard yet?
Seeing potential
Seeing potential means recognizing people's capacity to learn, contribute, and grow. It resists reducing someone to a score or to the tasks a machine can perform faster.
Use tools to support people's development. Give learners time, feedback, and real opportunities to practice. A prediction about someone's performance should not close off their future.
Ask together: How could this help people develop abilities they value?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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