Algorithmic de-skilling of clinical decision-makers

What will we do when we don’t drive most of the time but have a car that hands control to us during an extreme event? Agrawal, A., Gans, J. & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Before I get to the takehome message, I need to set this up a […]

Want Less-Biased Decisions? Use Algorithms.

At the heart of this work is the concern that algorithms are often opaque, biased, and unaccountable tools being wielded in the interests of institutional power. So how worried should we be about the modern ascendance of algorithms? These critiques and investigations are often insightful and illuminating, and they have done a good job in […]

A.I. Versus M.D. What happens when diagnosis is automated?

The word “diagnosis,” he reminded me, comes from the Greek for “knowing apart.” Machine-learning algorithms will only become better at such knowing apart—at partitioning, at distinguishing moles from melanomas. But knowing, in all its dimensions, transcends those task-focussed algorithms. In the realm of medicine, perhaps the ultimate rewards come from knowing together. Source: A.I. Versus […]

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