When algorithms rule, values can wither building responsible AI systems with recognizing that technology solutions implicitly prioritize efficiency
Organizations that aim to develop and deploy responsible AI systems must begin by considering what implicit and systemic biases reside in a technological system itself. Not doing so can result in catastrophic failures resulting from unintended consequences of the system’s normal operations. The auth...
| Main Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
[Cambridge, Massachusetts]
MIT Sloan Management Review
2022
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| Edition: | [First edition] |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | Organizations that aim to develop and deploy responsible AI systems must begin by considering what implicit and systemic biases reside in a technological system itself. Not doing so can result in catastrophic failures resulting from unintended consequences of the system’s normal operations. The authors advise managers on how to mitigate the risk that algorithmic systems can cause organizational or social harm if left unchecked |
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| Item Description: | "Reprint 64223." |
| Physical Description: | 6 pages |