Brief IA

Substack Introduces Tool to Unmask AI-Generated Texts

🛠️ AI Tools·Tom Levy·

Substack Introduces Tool to Unmask AI-Generated Texts

Substack Introduces Tool to Unmask AI-Generated Texts
Key Takeaways
1Substack launches a tool to identify potentially AI-generated texts on its platform.
2Developed by Pangram, this tool will be available on the web and iOS, with an Android version coming soon.
3Users can analyze content of over 100 words to detect AI involvement.
💡Why it mattersThis initiative allows Substack users to better understand the origin of the content they read.
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Full Analysis

Substack Integrates Tool to Unmask AI-Generated Texts

Substack will now help users determine if what they are reading may have been written by an AI. A new tool, set to be deployed on the platform, can analyze posts, notes, replies, and comments to provide an estimate of the amount of text that could be generated by an AI or written with its assistance, according to a blog post published on Tuesday.

The tool is powered by an AI detection company called Pangram and will be available on the web as well as on the iOS app, with a launch on Android planned "soon." Readers can analyze content of more than 100 words by selecting the "Scan for AI text" option in the three-dot menu at the top right of a post.

Substack co-founder and CEO Chris Best explains that the integration of Pangram aims to increase transparency on the platform as AI becomes more prevalent on social media. "The central issue is not the use of AI, nor the quality of its output," writes Best. "The problem arises when there is a disconnect between a reader's expectations and reality, especially when they unknowingly invest their attention in something that was not conceived by a human. This is what is called Claudefishing."

In connection with this change, Substack will also allow creators to explain their writing process to readers through a new statement titled "How I Do This." Writers will also be able to scan their drafts with Pangram and will have the option to report inaccurate results.

Best emphasizes that "Pangram can only detect whether AI was used to create the text, not whether significant human care was taken in its creation, nor whether AI tools were used as a source." But the goal, according to Best, is to make it easier for someone to choose to invest their time in reading a blog post. "When readers have to wonder if what they are reading is real, it undermines trust in the author and threatens the livelihoods of writers — including those who use AI tools thoughtfully to produce work they believe in," writes Best. "Platforms that reward misinformation will create a race to the bottom."

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