Transparency, Not Detection: Proposing the AI Creator Trust Standard Report

Transparency, Not Detection: Proposing the AI Creator Trust Standard Report
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Transparency, Not Detection: Proposing the AI Creator Trust Standard Report
AI detectors guess from the final product. The proposed AI Cre
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Transparency, Not Detection: Proposing the AI Creator Trust Standard Report
AI detectors guess from the final product. The proposed AI Creator Trust Standard documents the human–machine creative process. Subscribe to receive the Public Review Draft and help shape what’s next.
Jack Myers
Oct 15, 2026
Artificial intelligence has not diminished the importance of human creativity. It has transformed how creativity is expressed and exposed how poorly our traditional measures of authorship understand the emerging relationship between humans and intelligent machines.
Most AI-detection systems begin with a finished article, image, research paper or other artifact and ask:
Does this look as though it was generated by AI?
That is increasingly the wrong question.
I am introducing the 135-page
AI Creator Trust Standard: Proposal and Implementation Framework—Public Review Draft v0.1
to offer an alternative. Subscribers can download the full proposal below.
The Standard is founded on a simple principle:
Transparency creates trust more effectively than detection.
Rather than asking artificial intelligence to guess who created a work after it has been completed, the AI Creator Trust Standard proposes documenting the creative relationship while the work is being developed.
Its purpose is not to conceal or minimize AI participation. On the contrary, AI contribution should be acknowledged accurately and transparently. But that contribution should not erase the human imagination, intention, knowledge, direction, judgment and accountability that may have governed the work.A finished work cannot reliably reveal who originated the idea, established its purpose, contributed knowledge and lived experience, challenged assumptions, rejected alternatives, redirected the AI, exercised editorial judgment or accepted responsibility for publication. Detection evaluates the surface of the result while remaining largely blind to the creative process tha