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Trading off accuracy and explainability in AI decision-making: findings from 2 citizens’ juries
79
Zitationen
11
Autoren
2021
Jahr
Abstract
Citizens may value explainability of AI systems in healthcare less than in non-healthcare domains and less than often assumed by professionals, especially when weighed against system accuracy. The public should therefore be actively consulted when developing policy on AI explainability.
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