AIED
What Constitutes AI Harms and/or Unfairness? An Empirical Analysis of Teacher Deliberation with a Fairness Elicitation Scaffold
Thu Jul 2, 11:10 AM–11:35 AM · North 205
Equity, Fairness & Inclusion Ethics, Governance & Responsible AI Teachers & Professional Development
★ Notable speakers
Shamya Karumbaiah
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— Affect detection, student engagement modeling, and equity/bias in intelligent tutoring and adaptive learning
Empirically analyzes how teachers deliberate about AI harms and fairness when given a structured elicitation scaffold to guide their reasoning.