How writers are reacting to Substack’s AI transparency tools

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How writers are reacting to Substack’s AI transparency tools

Honest conversation, the first wave of “How I make this” statements, and an upcoming series on how publishers are using and feeling about AI

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“Spot the difference” by Joro Chen, Brand Designer at Substack

Earlier this week, we announced a feature that allows readers to scan text published to Substack to see how much of it is estimated to be written by hand or with AI assistance. We also launched tools for publishers, including the ability to run the program—Pangram—on drafts prior to publication, disable scanning on a post-by-post basis, and add a “How I make this” statement explaining their creative process to set expectations for their readers. These features do not use publisher content, either through Substack or Pangram, to train generative AI models and are now available on web, iOS, and Android.

Norms around AI use and its disclosure are unsettled. But we have made the assessment that while the use of AI isn’t necessarily a problem, a lack of transparency around it definitely is. Our aim is to help writers get credit for the work that’s theirs and help their audiences make more informed choices about what they spend their time on.