A caution against customized AI in healthcare
Abstract This article critiques the shift towards personalized AI in healthcare and other high-stakes domains, cautioning that without careful deliberation, customized AI systems can compromise the diversity and reach of human knowledge by restricting exposure to critical information that may confli...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01415-y |
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| _version_ | 1841544303448424448 |
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| author | Kristin M. Kostick-Quenet |
| author_facet | Kristin M. Kostick-Quenet |
| author_sort | Kristin M. Kostick-Quenet |
| collection | DOAJ |
| description | Abstract This article critiques the shift towards personalized AI in healthcare and other high-stakes domains, cautioning that without careful deliberation, customized AI systems can compromise the diversity and reach of human knowledge by restricting exposure to critical information that may conflict with users’ preferences and biases. Customized AI should be applied with caution and intention where access to a wide and diverse range of perspectives is essential for impartial, informed decision making. |
| format | Article |
| id | doaj-art-a1aac165484f40c08f43a04d0045a554 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-a1aac165484f40c08f43a04d0045a5542025-01-12T12:40:59ZengNature Portfolionpj Digital Medicine2398-63522025-01-01811410.1038/s41746-024-01415-yA caution against customized AI in healthcareKristin M. Kostick-Quenet0Center for Medical Ethics and Health Policy, Baylor College of MedicineAbstract This article critiques the shift towards personalized AI in healthcare and other high-stakes domains, cautioning that without careful deliberation, customized AI systems can compromise the diversity and reach of human knowledge by restricting exposure to critical information that may conflict with users’ preferences and biases. Customized AI should be applied with caution and intention where access to a wide and diverse range of perspectives is essential for impartial, informed decision making.https://doi.org/10.1038/s41746-024-01415-y |
| spellingShingle | Kristin M. Kostick-Quenet A caution against customized AI in healthcare npj Digital Medicine |
| title | A caution against customized AI in healthcare |
| title_full | A caution against customized AI in healthcare |
| title_fullStr | A caution against customized AI in healthcare |
| title_full_unstemmed | A caution against customized AI in healthcare |
| title_short | A caution against customized AI in healthcare |
| title_sort | caution against customized ai in healthcare |
| url | https://doi.org/10.1038/s41746-024-01415-y |
| work_keys_str_mv | AT kristinmkostickquenet acautionagainstcustomizedaiinhealthcare AT kristinmkostickquenet cautionagainstcustomizedaiinhealthcare |