How do you know whether something that you read (or see) is current, up-to-date, and credible? And how do you know how this content was created?

The answers to these two questions have one thing in common: they can be used to build trust. Or, in the absence of the answers, diminish it. So in the age of ChatGPT, Bard, and other AI systems, how can we build trust in the content we produce?

Thankfully, at least part of the problem has been solved before. In many articles on websites there is the name of the writer, and the date written; this comes from the world of journalism, and is called a byline. Articles on medical websites, however, go even further: there is usually a “last reviewed on” date at the bottom of the article, along with the name of the reviewer. All of this builds trust in the reader’s mind.

This byline precedent provides a clue regarding the second question: how was the article created? Here’s our recommendation: label the article as AI Generated, AI Derived, or No AI/All Original Content. Doing so will let the reader know explicitly the provenance of the content. These AI labels are specific, add transparency, and serve to build trust.

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Content Authenticity Statement: 100% original content: no AI was used in creating this content.

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