Testing domain knowledge and risk of bias of a large-scale general artificial intelligence model in mental health
Background With a rapidly expanding gap between the need for and availability of mental health care, artificial intelligence (AI) presents a promising, scalable solution to mental health assessment and treatment. Given the novelty and inscrutable nature of such systems, exploratory measures aimed at...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-04-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076231170499 |