Artificial intelligence in medicine and the disclosure of risks
This paper focuses on the use of ‘black box’ AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI’s implicit assumptions and an individual patient’s backgr...
| Main Author: | |
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| Format: | Journal article |
| Language: | English |
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Springer
2020
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| _version_ | 1797078693392154624 |
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| author | Kiener, MAH |
| author_facet | Kiener, MAH |
| author_sort | Kiener, MAH |
| collection | OXFORD |
| description | This paper focuses on the use of ‘black box’ AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI’s implicit assumptions and an individual patient’s background situation. Pace current clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient’s informed consent or violates a more general obligation to warn him about potentially harmful consequences. To support this view, I argue, first, that the already widely accepted conditions in the evaluation of risks, i.e. the ‘nature’ and ‘likelihood’ of risks, speak in favour of disclosure and, second, that principled objections against the disclosure of these risks do not withstand scrutiny. Moreover, I also explain that these risks are exacerbated by pandemics like the COVID-19 crisis, which further emphasises their significance. |
| first_indexed | 2024-03-07T00:35:22Z |
| format | Journal article |
| id | oxford-uuid:81365bda-38a9-4d3a-b5e0-7b587475bed1 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:35:22Z |
| publishDate | 2020 |
| publisher | Springer |
| record_format | dspace |
| spelling | oxford-uuid:81365bda-38a9-4d3a-b5e0-7b587475bed12022-03-26T21:28:54ZArtificial intelligence in medicine and the disclosure of risksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:81365bda-38a9-4d3a-b5e0-7b587475bed1EnglishSymplectic ElementsSpringer2020Kiener, MAHThis paper focuses on the use of ‘black box’ AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI’s implicit assumptions and an individual patient’s background situation. Pace current clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient’s informed consent or violates a more general obligation to warn him about potentially harmful consequences. To support this view, I argue, first, that the already widely accepted conditions in the evaluation of risks, i.e. the ‘nature’ and ‘likelihood’ of risks, speak in favour of disclosure and, second, that principled objections against the disclosure of these risks do not withstand scrutiny. Moreover, I also explain that these risks are exacerbated by pandemics like the COVID-19 crisis, which further emphasises their significance. |
| spellingShingle | Kiener, MAH Artificial intelligence in medicine and the disclosure of risks |
| title | Artificial intelligence in medicine and the disclosure of risks |
| title_full | Artificial intelligence in medicine and the disclosure of risks |
| title_fullStr | Artificial intelligence in medicine and the disclosure of risks |
| title_full_unstemmed | Artificial intelligence in medicine and the disclosure of risks |
| title_short | Artificial intelligence in medicine and the disclosure of risks |
| title_sort | artificial intelligence in medicine and the disclosure of risks |
| work_keys_str_mv | AT kienermah artificialintelligenceinmedicineandthedisclosureofrisks |