On the limits of artificial intelligence (AI) in education

Research output: Contribution to journalArticleResearchpeer-review


The recent hyperbole around artificial intelligence (AI) has impacted on our ability to properly consider the lasting educational implications of this technology. This paper outlines a number critical issues and concerns that need to feature more prominently in future educational discussions around AI. These include: (i) the limited ways in which educational processes and practices can be statistically modelled and calculated; (ii) the ways in which AI technologies risk perpetuating social harms for minoritized students; (iii) the losses incurred through reorganising education to be more ‘machine readable’; and (iv) the ecological and environmental costs of data-intensive and device-intensive forms of AI. The paper concludes with a call for slowing down and recalibrating current discussions around AI and education – paying more attention to issues of power, resistance and the possibility of re-imagining education AI along more equitable and educationally beneficial lines.
Original languageEnglish
Pages (from-to)3-14
Number of pages12
JournalNordisk Tidsskrift for Pedagogikk og Kritikk
Issue number1
Publication statusPublished - 2024


  • artificial intelligence
  • automation
  • digital
  • education
  • harms

Cite this