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AI-ready · Judgment

An AI tool your agency uses to prioritize which neighborhoods get inspection resources keeps ranking historically under-resourced areas lower, because it’s trained on past inspection data where those areas were visited less. How do you catch and correct for that?

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The tool learned the pattern of past neglect and is recommending we repeat it, so the first thing I do is stop treating its output as neutral and treat the training data itself as the thing under review.…

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