Clinical needs and technological advances have resulted in increased use of Artificial Intelligence (AI) in clinical decision support. However, such support can introduce new and amplify existing cognitive biases. Through contextual inquiry and interviews, we set out to understand the use of an existing AI support system by ophthalmologists. We identified concerns regarding anchoring bias and a misunderstanding of the AI's capabilities. Following, we evaluated clinicians' perceptions of three bias mitigation strategies as integrated into their existing decision support system. While clinicians recognised the danger of anchoring bias, we identified a concern around the impact of bias mitigation on procedure time. Our participants were divided in their expectations of any positive impact on diagnostic accuracy, stemming from varying reliance on the decision support. Our results provide insights into the challenges of integrating bias mitigation into AI decision support.
翻译:临床需要和技术进步导致在临床决策支持中更多地使用人工智能(AI),然而,这种支持可以引入新的并扩大现有的认知偏差。通过背景调查和访谈,我们开始了解眼科医生使用现有的人工智能支持系统的情况。我们查明了对固定偏见的关切和对AI能力的误解。随后,我们评估了临床医生将三种减少偏差战略纳入现有决策支持系统的看法。虽然临床医生认识到固化偏差的危险,但我们发现对减少偏差对程序时间的影响的关切。我们的参与者由于对决策支持的依赖程度不同,对诊断准确性的任何积极影响的期望存在分歧。我们的结果为将减少偏差纳入AI决策支持的挑战提供了深刻的见解。</s>