Synthetic Content Transparency
The NewsEntertAI Disclosure Protocol: how we tell you what is real, what is generated and what is placeholder.
A magazine about synthetic media has a special duty to be clear about its own. The NewsEntertAI Disclosure Protocol is our set of commitments about how we label what you see and read.
Human-reported, human-written
Every story we publish is reported and written by people and edited by people. We do not publish text that has been generated and passed off as journalism. If we ever use automated assistance for something such as transcription or spell-checking, a human remains responsible for every word.
Labeling generated and captured imagery
We separate images into clear categories and aim to label each one:
- Captured – photographs or footage recorded by a camera, credited to the creator.
- Generated – images produced wholly or mostly by AI tools, labeled as generated.
- Composite or edited – captured material altered with AI tools, labeled with what changed.
- Illustration – human-made artwork, credited to the artist.
Launch-edition images are placeholder artwork
This is the launch edition. The images on this site are placeholder artwork and may be generated. They illustrate fictional stories and do not depict real events, real people or real products. Treat them as decoration, never as evidence.
No undisclosed deepfakes
We will not publish a synthetic depiction of a real person, in image, audio or video, without clearly disclosing it. We will not present generated material as authentic documentation, and we will not use synthetic likenesses of real people in ways they have not agreed to.
Advocating for human performers
We cover digital replicas and virtual performers with a clear belief: human performers deserve informed consent, fair terms and credit when their likeness, voice or work is used. We will report on both the creative opportunities and the harms.
Provenance standards
We intend to adopt provenance metadata standards for the media we publish, so that readers and other platforms can verify how an image was made. We have not yet implemented this, and we do not claim any certification or partnership in this area. When we do adopt a standard, we will say which one and how it works.
Tell us if we miss
If you think an image or passage is mislabeled, write to [email protected]. We will review it and publish a correction if needed.