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README.md
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There are as many ways for the ML task definition and deployment to affect the risk of bias-related harms as there are applications for ML systems. As in the examples above, some common steps that may help decide whether and how to apply ML in a way that minimizes bias-related risk include:
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* Investigate:
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* Reports of bias in the field pre-ML
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* At-risk demographic categories for your specific use case
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There are as many ways for the ML task definition and deployment to affect the risk of bias-related harms as there are applications for ML systems. As in the examples above, some common steps that may help decide whether and how to apply ML in a way that minimizes bias-related risk include:
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* Investigate:
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* Reports of bias in the field pre-ML
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* At-risk demographic categories for your specific use case
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