Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans
BackgroundDespite widespread agreement that artificial intelligence (AI) offers significant benefits for individuals and society at large, there are also serious challenges to overcome with respect to its governance. Recent policymaking has focused on establishing principles for the trustworthy use...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2021-06-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2021/6/e28921 |
| _version_ | 1818875816507867136 |
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| author | Makridis, Christos Hurley, Seth Klote, Mary Alterovitz, Gil |
| author_facet | Makridis, Christos Hurley, Seth Klote, Mary Alterovitz, Gil |
| author_sort | Makridis, Christos |
| collection | DOAJ |
| description | BackgroundDespite widespread agreement that artificial intelligence (AI) offers significant benefits for individuals and society at large, there are also serious challenges to overcome with respect to its governance. Recent policymaking has focused on establishing principles for the trustworthy use of AI. Adhering to these principles is especially important for ensuring that the development and application of AI raises economic and social welfare, including among vulnerable groups and veterans.
ObjectiveWe explore the newly developed principles around trustworthy AI and how they can be readily applied at scale to vulnerable groups that are potentially less likely to benefit from technological advances.
MethodsUsing the US Department of Veterans Affairs as a case study, we explore the principles of trustworthy AI that are of particular interest for vulnerable groups and veterans.
ResultsWe focus on three principles: (1) designing, developing, acquiring, and using AI so that the benefits of its use significantly outweigh the risks and the risks are assessed and managed; (2) ensuring that the application of AI occurs in well-defined domains and is accurate, effective, and fit for the intended purposes; and (3) ensuring that the operations and outcomes of AI applications are sufficiently interpretable and understandable by all subject matter experts, users, and others.
ConclusionsThese principles and applications apply more generally to vulnerable groups, and adherence to them can allow the VA and other organizations to continue modernizing their technology governance, leveraging the gains of AI while simultaneously managing its risks. |
| first_indexed | 2024-12-19T13:32:30Z |
| format | Article |
| id | doaj.art-6198fcee143b449eb436d4b860b4bf27 |
| institution | Directory Open Access Journal |
| issn | 2291-9694 |
| language | English |
| last_indexed | 2024-12-19T13:32:30Z |
| publishDate | 2021-06-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Medical Informatics |
| spelling | doaj.art-6198fcee143b449eb436d4b860b4bf272022-12-21T20:19:18ZengJMIR PublicationsJMIR Medical Informatics2291-96942021-06-0196e2892110.2196/28921Ethical Applications of Artificial Intelligence: Evidence From Health Research on VeteransMakridis, ChristosHurley, SethKlote, MaryAlterovitz, GilBackgroundDespite widespread agreement that artificial intelligence (AI) offers significant benefits for individuals and society at large, there are also serious challenges to overcome with respect to its governance. Recent policymaking has focused on establishing principles for the trustworthy use of AI. Adhering to these principles is especially important for ensuring that the development and application of AI raises economic and social welfare, including among vulnerable groups and veterans. ObjectiveWe explore the newly developed principles around trustworthy AI and how they can be readily applied at scale to vulnerable groups that are potentially less likely to benefit from technological advances. MethodsUsing the US Department of Veterans Affairs as a case study, we explore the principles of trustworthy AI that are of particular interest for vulnerable groups and veterans. ResultsWe focus on three principles: (1) designing, developing, acquiring, and using AI so that the benefits of its use significantly outweigh the risks and the risks are assessed and managed; (2) ensuring that the application of AI occurs in well-defined domains and is accurate, effective, and fit for the intended purposes; and (3) ensuring that the operations and outcomes of AI applications are sufficiently interpretable and understandable by all subject matter experts, users, and others. ConclusionsThese principles and applications apply more generally to vulnerable groups, and adherence to them can allow the VA and other organizations to continue modernizing their technology governance, leveraging the gains of AI while simultaneously managing its risks.https://medinform.jmir.org/2021/6/e28921 |
| spellingShingle | Makridis, Christos Hurley, Seth Klote, Mary Alterovitz, Gil Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans JMIR Medical Informatics |
| title | Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans |
| title_full | Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans |
| title_fullStr | Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans |
| title_full_unstemmed | Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans |
| title_short | Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans |
| title_sort | ethical applications of artificial intelligence evidence from health research on veterans |
| url | https://medinform.jmir.org/2021/6/e28921 |
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