Manage AI bias instead of trying to eliminate it to remediate the bias built into AI data, companies can take a three-step approach
The negative effects of bias in artificial intelligence models’ underlying data has made headlines, and companies need to find ways to address it. But it’s impossible to completely abolish bias in AI data to equitably account for diverse populations — so instead, companies should remediate it to del...
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Bibliographic Details
Main Author: |
Townson, Sian |
Format: | eBook
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Language: | English |
Published: |
[Cambridge, Massachusetts]
MIT Sloan Management Review
2022
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Edition: | [First edition] |
Subjects: |
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Online Access: |
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Collection: |
O'Reilly
- Collection details see
MPG.ReNa
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