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Collective action for responsible AI in health

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  • Brian Anderson
  • Eric Sutherland

Abstract

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.

Suggested Citation

  • Brian Anderson & Eric Sutherland, 2024. "Collective action for responsible AI in health," OECD Artificial Intelligence Papers 10, OECD Publishing.
    • Handle: RePEc:oec:comaaa:10-en
    DOI: 10.1787/f2050177-en
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