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23 - GenAI in Education

from Part IV - Societal Implications

Published online by Cambridge University Press:  24 July 2026

David Atkinson
Affiliation:
University of Texas, Austin
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Summary

This chapter argues against the uncritical integration of generative AI (GenAI) into K-12 education, asserting that the primary goal of schooling should be cultivating engaged citizens and critical thinkers, not merely preparing a “workforce” dependent on rapidly changing technology. The author contends that GenAI is different from previous tools like calculators or search engines because it enables effective cheating without foundational competence, fostering a “cognitive debt” and dependence.

The case against GenAI rests on three pillars: workforce speculation (GenAI’s future necessity is unproven), technological volatility (the technology is unstable and subject to lawsuits), and the fundamental questions of learning. The author introduces the Bradford Hill criteria as a framework for evaluating the limited research, noting a telling “silence” from major edtech companies regarding product effectiveness. The chapter concludes that the choice is not about technology, but about what society believes education is for.

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  • GenAI in Education
  • David Atkinson, University of Texas, Austin
  • Book: Our Artificial Future
  • Online publication: 24 July 2026
  • Chapter DOI: https://doi.org/10.1017/9781009719605.028
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  • GenAI in Education
  • David Atkinson, University of Texas, Austin
  • Book: Our Artificial Future
  • Online publication: 24 July 2026
  • Chapter DOI: https://doi.org/10.1017/9781009719605.028
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • GenAI in Education
  • David Atkinson, University of Texas, Austin
  • Book: Our Artificial Future
  • Online publication: 24 July 2026
  • Chapter DOI: https://doi.org/10.1017/9781009719605.028
Available formats
×