Collective action for responsible AI in health:
Artificial intelligence will have profound impacts across health systems, transforming health care, public health, and research. Responsible AI can accelerate efforts toward health systems being more resilient, sustainable, equitable, and person-centred. This paper provides an overview of the backgr...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2024
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| Schriftenreihe: | OECD Artificial Intelligence Papers
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Artificial intelligence will have profound impacts across health systems, transforming health care, public health, and research. Responsible AI can accelerate efforts toward health systems being more resilient, sustainable, equitable, and person-centred. This paper provides an overview of the background and current state of artificial intelligence in health, perspectives on opportunities, risks, and barriers to success. The paper proposes several areas to be explored for policy makers to advance the future of responsible AI in health that is adaptable to change, respects individuals, champions equity, and achieves better health outcomes for all. The areas to be explored relate to trust, capacity building, evaluation, and collaboration. This recognises that the primary forces that are needed to unlock the value from artificial intelligence are people-based and not technical. The OECD is ready to support efforts for co-operative learning and collective action to advance the use of responsible AI in health |
| Beschreibung: | 1 Online-Ressource (41 Seiten) 21 x 28cm |
| DOI: | 10.1787/f2050177-en |
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| indexdate | 2024-12-09T19:00:24Z |
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| language | English |
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| spelling | Anderson, Brian Verfasser aut Collective action for responsible AI in health Brian, Anderson and Eric, Sutherland Paris OECD Publishing 2024 1 Online-Ressource (41 Seiten) 21 x 28cm txt rdacontent c rdamedia cr rdacarrier OECD Artificial Intelligence Papers Artificial intelligence will have profound impacts across health systems, transforming health care, public health, and research. Responsible AI can accelerate efforts toward health systems being more resilient, sustainable, equitable, and person-centred. This paper provides an overview of the background and current state of artificial intelligence in health, perspectives on opportunities, risks, and barriers to success. The paper proposes several areas to be explored for policy makers to advance the future of responsible AI in health that is adaptable to change, respects individuals, champions equity, and achieves better health outcomes for all. The areas to be explored relate to trust, capacity building, evaluation, and collaboration. This recognises that the primary forces that are needed to unlock the value from artificial intelligence are people-based and not technical. The OECD is ready to support efforts for co-operative learning and collective action to advance the use of responsible AI in health Education Employment Governance Social Issues/Migration/Health Science and Technology Sutherland, Eric ctb https://doi.org/10.1787/f2050177-en Verlag kostenfrei Volltext |
| spellingShingle | Anderson, Brian Collective action for responsible AI in health Education Employment Governance Social Issues/Migration/Health Science and Technology |
| title | Collective action for responsible AI in health |
| title_auth | Collective action for responsible AI in health |
| title_exact_search | Collective action for responsible AI in health |
| title_full | Collective action for responsible AI in health Brian, Anderson and Eric, Sutherland |
| title_fullStr | Collective action for responsible AI in health Brian, Anderson and Eric, Sutherland |
| title_full_unstemmed | Collective action for responsible AI in health Brian, Anderson and Eric, Sutherland |
| title_short | Collective action for responsible AI in health |
| title_sort | collective action for responsible ai in health |
| topic | Education Employment Governance Social Issues/Migration/Health Science and Technology |
| topic_facet | Education Employment Governance Social Issues/Migration/Health Science and Technology |
| url | https://doi.org/10.1787/f2050177-en |
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