AI’s fluent answers hide bias. Here’s how to teach students to see it
Kamila Miller
University of Reading
Kamila Miller
University of Reading
Kamila Miller is a lecturer at Henley Business School at the University of Reading. Her research examines how advice from large language models affects consumer decision efficiency and agency. She is the author of Data-Driven Marketing Strategy (Kogan Page, 2026).
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AI advice arrives confident and efficient, which is why students don’t always notice what it assumes or when they stop deciding for themselves. Kamila Miller offers four classroom practices that make bias and dependence visible