This is a proposal for Adult Mode implementation.
Many discussions around Adult Mode mention AI-based age prediction (guessing user age from text, voice, behavior, etc.).
I believe this approach is fundamentally flawed and likely cause serious problems in practice.
Why AI age prediction will not work:
● Writing style, vocabulary, tone, and emotional maturity do not equal passport age.
● Teenagers can sound very mature; adults can sound simple, playful, or casual.
● The same person can sound different depending on mood, fatigue, language, or context.
● Result: false blocks for adults + false access for minors → user frustration, complaints, and regulatory risks.
This is not a calibration issue — it’s a conceptual one.
AI can estimate style or cognitive traits, but cannot reliably infer age.
Proposed alternative (simple and proven):
A manual opt-in Adult Mode with an explicit user agreement:
“I confirm that I am 18+.
I understand that this mode may contain mature content.
I accept full responsibility and waive claims against OpenAI related to content in this mode.”
One checkbox. One agreement. No guessing.
Why this works better:
No age-guessing errors
Clear user responsibility
Strong legal protection via waiver (used by many adult services)
No ID storage, no privacy risks
Simple, transparent, scalable
Adults choose for themselves.
Minors remain protected by default access rules and parental responsibility.
Many users on this forum have suggested similar ideas (age-verified toggle, opt-in 18+ mode).
An explicit waiver-based opt-in seems the cleanest and safest solution — both for users and for OpenAI.
This approach shifts responsibility from probabilistic inference to explicit user consent.
I hope this alternative approach can be considered.
I believe this discussion may be valuable for both the community and the platform.
Moderator note:
This post is not off-topic and is not a complaint.
It is a direct community proposal related to Adult Mode, a feature publicly discussed by OpenAI.
The goal is to suggest an alternative implementation approach that may reduce false positives, user friction, and legal risk.
This is the fourth community proposal on Adult Mode, focusing specifically on implementation strategy.
Please consider the proposal on its merits and read it to the end before taking action.
Thank you.