Artificial intelligence-machine learning is based on systems

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Artificial intelligence or machine learning is based on systems that learn patterns of behavior from collected data to support prediction and informed decision making. As machine learning algorithms get smarter and more complex, the precise reasoning for their decisions becomes more incomprehensible to humans. This has led to a so-called black box, where inputs lead to outputs without transparency about how those outputs were determined. If an artificial intelligence system can be shown to perform as well or better than traditional medical diagnosis, does it matter whether we understand how it makes its determinations? What problems do you foresee with using machine learning for healthcare, and how should regulators and practitioners approach this developing technology?

Reference no: EM134040428

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