Leo Visser • 7/14/2025

Why your AI might be biased (and what you can do about it)

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This technical article discusses how bias in AI systems stems from unrepresentative training data and indirect proxy variables, using examples like image generators and hiring tools. It emphasizes the developer's responsibility and provides actionable advice for critical data evaluation and user education to build fairer AI.

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#ai bias #Data Quality #Model Training
Why your AI might be biased (and what you can do about it)

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