Mitigating the impact of biased artificial intelligence in emergency decision-making
Adam et al. evaluate the impact of biased AI recommendations on emergency decisions made by respondents to mental health crises. They find that descriptive rather than prescriptive recommendations made by the AI decision support system are more likely to lead to unbiased decision-making.
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-11-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-022-00214-4 |