Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
BACKGROUND: Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical tasks, the lack of explainability continues to spark criticism. Yet, explainability is not a purely technological issue, instead it invokes a host of medical, legal, ethical, and societal questions that require thorough exploration. This paper provides a compreh
Record details
Published: 30 November 2020
Source: OpenAlex
Category: Research
Topics: Healthcare · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (30 November 2020), “Explainability for artificial intelligence in healthcare: a multidisciplinary perspective,” evidence record 8673, https://ethics.ai/record/8673 (originally published by OpenAlex).
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