  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.
