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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2024
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| Schriftenreihe: | OECD Artificial Intelligence Papers
no.10 |
| 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 p.) 21 x 28cm. |
| DOI: | 10.1787/f2050177-en |
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| spelling | Anderson, Brian VerfasserIn aut Collective action for responsible AI in health Brian, Anderson and Eric, Sutherland Paris OECD Publishing 2024 1 Online-Ressource (41 p.) 21 x 28cm. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Artificial Intelligence Papers no.10 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 Social Issues/Migration/Health Employment Science and Technology Governance Sutherland, Eric MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/f2050177-en Volltext |
| spellingShingle | Anderson, Brian Collective action for responsible AI in health Education Social Issues/Migration/Health Employment Science and Technology Governance |
| 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 Social Issues/Migration/Health Employment Science and Technology Governance |
| topic_facet | Education Social Issues/Migration/Health Employment Science and Technology Governance |
| url | https://doi.org/10.1787/f2050177-en |
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