The American Medical Association released a report March 4 summarizing seven key pieces of advice for people developing, using, implementing and regulating healthcare AI. The points were drawn from a JAMA editorial column written by experts from the National Academy of Medicine, Stanford (Calif.) University and Nashville, Tenn.-based Vanderbilt University.
Seven tips for responsible AI use in healthcare:
- Promote data that accurately represents populations with accessibility, standardization and quality.
- Prioritize ethical, equitable and inclusive medical AI, addressing explicit and implicit bias.
- Contextualize transparency and trust, which means accepting differential needs.
- In the near term, focus on augmented intelligence rather than AI autonomous agents.
- Create and deploy appropriate training and educational programs.
- Implement a clear and informed information technology governance strategy.
- Promote trust and balance innovation with safety through regulation and legislation.
More articles on artificial intelligence:
IBM’s retreat from health business spotlights AI challenges in healthcare: 4 things to know
5 data issues limiting AI’s potential in healthcare
AI vs. machine learning vs. algorithms: Providence exec explains the differences, their healthcare applications
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