Trading off accuracy and explainability in AI decision-making: findings from 2 citizens’ juries

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.