AI

Margaret Atwood on AI: 'Garbage In, Garbage Out'

June 27, 2026Source: The Verge
Margaret Atwood on AI: 'Garbage In, Garbage Out'
Photo by Microsoft Copilot / Unsplash
Ulaş Doğru

Ulaş Doğru

Software & Startup Analyst

Renowned author Margaret Atwood shared her skepticism about AI chatbots, citing a personal experience with Anthropic's Claude that resulted in misinformation. She expressed concerns about the 'garbage in, garbage out' principle applying to AI.

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Margaret Atwood, the celebrated author behind literary giants like 'The Handmaid's Tale' and 'The Blind Assassin,' recently voiced her reservations about artificial intelligence during an interview at the Babell Literary and Cultural Festival in Porto, Portugal. The conversation, as reported by Deadline, touched upon the growing prevalence of AI in various fields, and Atwood didn't hold back her critical perspective.

According to Atwood's account, her sole interaction with an AI chatbot was with Anthropic's Claude, an experience that left her decidedly unimpressed. She had been seeking information about the British detective series 'Father Brown.' However, the AI's response was far from satisfactory.

"Claude gave me the wrong answer, or it lied," Atwood stated. She further elaborated that the AI, being a large language model and not a human, couldn't be accused of intentional deception, as it lacks the consciousness to know it was providing false information. This experience highlighted a core concern for Atwood: the 'garbage in, garbage out' principle, suggesting that the quality of AI output is directly dependent on the quality of the data it's trained on.

While the specific details of the 'skimmed' information were not fully elaborated in the provided excerpt, Atwood's sentiment points towards a broader unease among creative professionals about the reliability and accuracy of AI-generated content. This critique comes at a time when AI technologies are rapidly evolving and being integrated into countless applications, raising questions about their potential to disseminate misinformation or simply produce subpar results based on flawed training data.

Atwood's comments serve as a timely reminder for both developers and users to approach AI with a critical eye, emphasizing the importance of rigorous data curation and fact-checking mechanisms to ensure that these powerful tools provide accurate and trustworthy information.

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