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AI Bias: Consequences and Mitigation
hackerone.com | blog | #ai-security | #ai-safety | #machine-learning | #healthcare | #ethics | #ai-bias | #training-data
Summary
A HackerOne researcher invokes Galton's wisdom-of-the-crowd to argue that diverse training data is essential for unbiased AI, citing racial bias in Optum's patient-care algorithm as a concrete harm.
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