Why this matters
Every dataset carries values, omissions, and histories within it. GenAI is not a mirror of truth but a chorus of inherited biases, shaped by its makers and the cultures that feed it. Recognising this enables us to teach students to read outputs not as objective facts, but as narratives to be questioned.
A question for reflection
How do you help students see the values and omissions inside a dataset or an AI output?
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