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Substack will now help users determine if what they’re reading was written by AI. A new tool coming to the platform can scan posts, notes, replies and comments to provide an estimate of how much text could be generated or written by AI with the help of AI, according to To a blog post published on Tuesday.
The tool is supported By an AI detection company called Pangram It’s rolling out via the web and iOS app, with an Android launch “soon.” Readers can analyze content longer than 100 words by choosing the “Scan for AI text” option from the three-dot menu in the top right corner of the post.
The Pangram integration aims to increase transparency on the platform, says Chris Best, co-founder and CEO of Substack Artificial intelligence is becoming more widespread On social media. “The fundamental problem is not the people using the AI, or the quality of its output,” Best wrote. “The problem comes when there is a mismatch between the reader’s expectations and reality, especially when they inadvertently invest their attention in something where there is no human thought on the other end. This is cloudfishing.”
In line with this change, Substack will also allow creators to explain their writing process to readers through a new “How do I do this” phrase. Writers can check their drafts using Pangram as well, and will have the option to report inaccurate results.
“Pangram can only detect whether AI was used to create the text, not whether there was significant human care in creating it, or whether AI tools were used as a source,” Best points out. But the goal, Best says, is to make it easier for someone to choose to invest their time in reading a blog post. “When readers question whether what they read is real, it undermines confidence in authorship and threatens the livelihoods of writers — including those who thoughtfully use AI tools to produce works they believe in,” Best wrote. “Platforms that reward counterfeiting will create a race to the bottom.”