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Why the ugly history of IQ testing matters for AI and education

A new commentary examines how IQ testing's flawed and often discriminatory past holds lessons for today's debates over artificial intelligence in education. It argues that tools claiming to measure human ability have long reflected the biases of their makers, and that AI systems now entering classrooms risk repeating those mistakes if their limits and assumptions go unexamined. The piece urges educators and developers to learn from that history.

Why now: Growing use of AI in schools has renewed scrutiny of standardized measures of intelligence and their historical biases.

The ConversationIQ testingartificial intelligenceeducation

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