Should health care demand interpretable artificial intelligence or accept “black box” medicine?
Health care applications of artificial intelligence (AI) have recently emerged. Artificial
intelligence approaches, such as deep learning, rely on vast amounts of data and complex
model structures with millions of parameters, making them difficult to understand. Thus,
these models are often called “black boxes.” Should physicians and other stakeholders
demand greater insight into how AI algorithms work?
intelligence approaches, such as deep learning, rely on vast amounts of data and complex
model structures with millions of parameters, making them difficult to understand. Thus,
these models are often called “black boxes.” Should physicians and other stakeholders
demand greater insight into how AI algorithms work?
Health care applications of artificial intelligence (AI) have recently emerged. Artificial intelligence approaches, such as deep learning, rely on vast amounts of data and complex model structures with millions of parameters, making them difficult to understand. Thus, these models are often called “black boxes.” Should physicians and other stakeholders demand greater insight into how AI algorithms work?
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