Academic Medicine Open Forum

This community has engaged in some active discussions about the role of AI in medicine, health and learning (hello to everyone in the Medical Education community in particular). As an introduction to the complexities and promising possibilities of this topic, we thought we’d put together a sampling of resources for you in this month’s Ultimate Guide (access other Ultimate Guides from past months):

• The Alignment Problem: Machine Learning and Human Values by Brian Christian. This book was recommended by a guy who runs a technology company (Satya Nadella, executive chairman and CEO of Microsoft) who says this about the book: “Christian offers a clear and compelling description of the hopeful and hazardous field of unsupervised learning within AI and machine learning. Courthouses, hospitals, and schools have relied on data-based machine learning models to increase accuracy and predictive power, but what happens when the data, the model, or both contain bias? Machines that learn for themselves become increasingly autonomous, and potentially unethical.”

• Interested in national policy issues around AI? Check out what the White House and other stakeholders are considering around a national AI research infrastructure, currently being referred to as the National Artificial Intelligence Research Resource.

• Will AI replace doctors? AAMCNews reported on this possibility. Read the story here.

• Two articles in Academic Medicine examine the use of AI within medical education and in clinical decision-making:
  • “On Artificial Intelligence and Deep Learning Within Medical Education” (November 2020)
  • “Artificial Intelligence and Clinical Decision Making: The New Nature of Medical Uncertainty” (January 2021)

• A collection of some of the best Ted Talks about AI

• Three of the most popular podcasts about AI are:
• This Week in Machine Learning & AI 
• The Data Skeptic
• The Talking Machines

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Stephanie Weiner
Director, Digital Strategy & Engagement
Association of American Medical Colleges
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