Explainable Deep Learning: A Field Guide for the Uninitiated

Deep neural networks (DNNs) are an indispensable machine learning tool despite the difficulty of diagnosing what aspects of a model’s input drive its decisions. In countless real-world domains, from legislation and law enforcement to healthcare, such diagnosis is essential to ensure that DNN decisions are driven by aspects appropriate in the context of its use. The development of methods and studies enabling the explanation of a DNN’s decisions has thus blossomed into an active and broad area of

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ethics.ai (25 January 2022), “Explainable Deep Learning: A Field Guide for the Uninitiated,” evidence record 9114, https://ethics.ai/record/9114 (originally published by OpenAlex).

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