Concern 581 · Working draft · editorial review in progress

AI companions and adolescent development

AI companions may affect adolescent development when they become a major setting for learning about trust, boundaries and relationships.

Understanding the concern

Adolescence includes practice in handling disagreement, embarrassment, friendship and growing independence. A highly agreeable companion offers a different experience from another person with their own needs. The concern is whether heavy use changes which kinds of social practice a young person receives.

Long-term developmental effects are not yet settled. Child-rights guidance emphasizes age-appropriate design and well-being rather than assuming that every interaction is harmful. Young people should have a voice in these decisions, alongside safeguards and access to trusted people. A service's popularity is not evidence that it meets developmental needs.

An example

A teenager increasingly rehearses every difficult interaction with a bot but avoids trying the conversation with peers.

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.

Evidence and its limits

These are rights guidance and a bounded safeguards review, not proof of a specific long-term developmental effect.

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Broader frameworks and background

These resources provide context. They do not establish every claim in this concern.

A question to discuss

What kinds of support should an AI provide while leaving room for adolescents to develop real-world relationships?

Keep track of different views, what needs checking, and any next step in your own discussion notes.

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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.

Severity
Major · 4/5
Likelihood
Documented at scale · 5/5
Time horizon
Now
Register risk score
20
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