As artificial intelligence becomes more embedded in K-12 education, decisions about data and technology should be guided not just by what is permissible, but by what best serves students — especially those who have historically been underserved. That mission does not change with the introduction of new technologies. If anything, the rapid adoption...
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🏛️ Bias at Scale: Understanding AI’s Impact on Student Achievement and Opportunity Gaps
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