Silver Lining for Learning

Critical AI in K12 Classrooms

Nov 23, 2025
In this engaging discussion, guests Marie K. Heath and Stephanie Smith Budhai explore the critical role of AI in K-12 education. Marie, an expert in dismantling oppression, highlights the biases embedded in AI algorithms and their potential to harm marginalized students. Stephanie emphasizes the need for a justice-centered approach to technology in schools. They discuss the historical context of AI, the ethical dilemmas it poses, and practical strategies for educators to navigate this complex landscape with equity in mind.
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INSIGHT

AI Is Ubiquitous And Invisible

  • AI is already embedded across educational tools and daily life, often invisibly shaping outcomes.
  • Teachers and administrators must recognize its pervasiveness before deciding how to use or resist it.
INSIGHT

Bias Becomes More Subtle With Model Sophistication

  • Large language models can hide bias by becoming more subtle as they improve, not less harmful.
  • Hidden curricular effects emerge when AI alters tone and expectations students receive without teacher awareness.
INSIGHT

Ethical 'Constants' Are Built Into AI

  • Some aspects of AI design are constants: extracted training data and resource-intensive infrastructure.
  • Those built-in features create ethical harms that differ qualitatively from individual human bias.
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