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This article examines the societal implications of widespread AI adoption, specifically focusing on cognitive atrophy and the decline of essential thinking skills among users. It synthesizes academic research and industry data to argue that over-reliance on generative tools can hinder deep learning and knowledge retention.
Source coveringMIT News
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Q&A: The “collision” between AI, your brain, and society

MIT News6 min read

In a new book, Professor Eric So explores how the technology affects our thinking skills.

As artificial intelligence use becomes more widespread, scholars are working to understand its effects on the people who use it. MIT Professor Eric So offers one of the most complete syntheses yet, in his new book, “The Collision: What AI Does to Us,” published this month by W.W. Norton. Recognizing that AI offers opportunities to complete work faster, and in some cases has been turned into useful domain-specific tools, So nonetheless looks at the costs of relying on it too broadly. He contends that heavy use of AI can lead to a kind of cognitive atrophy, in which people fail to develop and retain essential thinking skills. In general, he says, evidence shows that our ability to learn gets dramatically better when we wrestle with material,…

Excerpt shown under the publisher's RSS terms · 126 words · full text and figures are on the publisher's site

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