Writing vs AI. If you wouldn’t ask an AI to eat a…

AI in Education Staff••January 7, 2026•Updated July 28, 2026•1 min read•Read source

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Key Takeaways

•Cory Doctorow's perspective challenges educators to redefine writing, emphasizing it as a uniquely human cognitive and experiential process rather than a mere output, which is crucial for authentic learning in an AI-infused landscape.
•This connects directly to the broader trend of reassessing pedagogical approaches and assessment strategies to distinguish human insight and creativity from AI-generated content.
•Consequently, educators must design assignments that value the iterative human journey of critical thinking and expression, fostering skills AI cannot replicate.

This article argues against the reliance on AI for fundamental learning tasks, particularly writing, in education, asserting that such tools hinder students' essential development. It posits that just as one wouldn't delegate basic human experiences, critical thinking and the act of creation, like writing, are indispensable human processes that cannot be outsourced to AI without significant educational loss.

Our Take

Cory Doctorow's perspective challenges educators to redefine writing, emphasizing it as a uniquely human cognitive and experiential process rather than a mere output, which is crucial for authentic learning in an AI-infused landscape. This connects directly to the broader trend of reassessing pedagogical approaches and assessment strategies to distinguish human insight and creativity from AI-generated content. Consequently, educators must design assignments that value the iterative human journey of critical thinking and expression, fostering skills AI cannot replicate.

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Analysis & Perspectives

Strategic Planning for AI Professional Development: Equipping Educators to Integrate AI as a Pedagogical Partner, Not Just a Tool

This article outlines a strategic framework for professional development, empowering educators to effectively integrate AI into their teaching practices. It moves beyond viewing AI as a mere tool, instead focusing on equipping educators to leverage AI as a sophisticated pedagogical partner. The aim is to enhance learning experiences and foster innovative instructional design.

Redefining Assessment and Feedback Strategies in the Age of Generative AI: From Plagiarism Detection to Promoting Critical AI Literacy

This article explores how the advent of generative AI necessitates a fundamental re-evaluation of assessment and feedback strategies in education. It advocates for a shift from solely focusing on plagiarism detection towards cultivating critical AI literacy among students. The piece outlines innovative approaches to integrate AI responsibly, ensuring academic integrity while equipping learners with essential skills for an AI-driven world.

People Also Ask

What is the best AI essay writer?▾

ChatGPT, Jasper, and Copy.ai are popular AI essay writing tools for general use. For academic writing with citations, Perplexity AI and Scholarcy are better because they source and cite claims. Students should use these tools for drafting and feedback rather than submitting AI-generated text as their own work.

Is using an AI essay writer cheating in school?▾

Submitting an AI-written essay as your own original work is considered academic dishonesty at virtually all educational institutions. However, using AI to brainstorm ideas, get feedback on drafts, improve grammar and structure, or understand assignment requirements is generally permitted. Always check your course policy before using any AI writing tool.

How do AI essay writers work?▾

AI essay writers use large language models trained on vast text corpora to generate coherent prose from a given topic or outline. They predict the most statistically likely next words given the context, which produces fluent text but can result in factual errors, generic arguments, or unsourced claims requiring human verification.

Can schools detect AI-written essays?▾

AI detection tools like Turnitin AI, GPTZero, and Originality.ai identify likely AI-generated text by analyzing statistical patterns in writing. These tools are not infallible and produce false positives; they are more accurate on longer texts and clearly AI-generated passages. Schools increasingly combine detection with process-based evaluation to assess genuine student work.