📑 AI in education is a public problem

Bookmarked AI in education is a public problem (code acts in education)

These 21 arguments against AI in education demonstrate how AI cannot be considered inevitable, beneficial or transformative in any straightforward way. You do not even need to take a strongly normative perspective either way to see that AI in education is highly contested and controversial. It is, in other words, a public problem that requires public deliberation and ongoing oversight if any possible benefits are to be realized and its substantial risks addressed. Perhaps these 21 critical points can serve as the basis for some of the ongoing public deliberation required as a contrast to narratives of AI inevitability and technologically deterministic visions of educational transformation.

Source: AI in education is a public problem by Ben Williamson

Ben Williamson provides 21 arguments against artificial intelligence in education:

  1. Definitional obscurity
  2. Falling for the (critical) hype
  3. Unproven benefits
  4. Contextlessness
  5. Guru authority
  6. Operational authority
  7. Curriculum misinfo
  8. Knowledge gatekeeping
  9. Irresponsible development
  10. Privacy and protection problems
  11. Mental diminishment
  12. Commercialization infrastructuralization
  13. Value generation
  14. Business fragility
  15. Individualisation
  16. Replacing labour
  17. Standardised labour
  18. Automated administrative progressivism
  19. Outsourcing responsibility
  20. Bias and discrimination
  21. Environmental impact

Stephen Downes responds to each of the questions in his own piece.

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