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A newly proposed checklist outlines six objectives to strive for in the development of machine-learning algorithms that help clinicians make health care decisions and recommendations for patients ...
Algorithms are turning up in the most unlikely places, promising to assert mathematical probability into corners of our lives where intuition, instinct and hunches have long held sway.
The oversimplification of algorithms can lead to stereotyping and can reinforce existing biases.