AI chatbots could become the new face of discrimination in education--they have the potential to exacerbate existing bias.

Why AI in the classroom needs its own ‘doll test’ 70 years post-Brown


AI chatbots could become the new face of discrimination in education--they have the potential to exacerbate existing inequalities and create new ones

Key points:

  • AI chatbots are only as unbiased as the data they're trained on and the humans who design them
  • 5 key recommendations for AI in education
  • New group targets AI skills in education and the workforce
  • For more on AI in education, visit eSN's Digital Learning hub

As we mark the 70th anniversary of the landmark Brown v. Board of Education decision, it's worth reflecting on a simple experiment's role in dismantling the doctrine of "separate but equal." In the 1940s, psychologists Kenneth and Mamie Clark conducted the now-famous "doll test," which revealed the negative impact of segregation on Black children's self-esteem and racial identity. The Clarks' findings helped overturn the "separate but equal" doctrine and win the case against school segregation.

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