Abstract
There is increasing use of algorithms in the health care and criminal justice systems, and corresponding increased concern with their ethical use. But perhaps a more basic issue is whether we should believe what we hear about them and what the algorithm tells us. It is illuminating to distinguish between the trustworthiness of claims made about an algorithm, and those made by an algorithm, which reveals the potential contribution of statistical science to both evaluation and ‘intelligent transparency.’ In particular, a four-phase evaluation structure is proposed, parallel to that adopted for pharmaceuticals.Keywords: trustworthiness, evaluation, AI, criminal justice system, medical AI, transparency.
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CITATION STYLE
Spiegelhalter, D. (2020). Should We Trust Algorithms? Harvard Data Science Review. https://doi.org/10.1162/99608f92.cb91a35a
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