@inproceedings{Bach2023AnchBiasMitigation,
	title        = {``If I Had All the Time in the World'': Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support},
	author       = {Kathrine Petersen Bach, Anne and Munch Nørgaard, Trine and Christian Brok, Jens and van Berkel, Niels},
	year         = 2023,
	booktitle    = {Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems},
	location     = {CHI'23},
	pages        = {to appear},
	doi          = {10.1145/3544548.3581513},
	url          = {https://nielsvanberkel.com/files/publications/chi2023a.pdf},
	abstract     = {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 a mockup of their existing decision support system. While clinicians recognised the danger of anchoring bias, we identified a concern around the negative effect of bias mitigation on procedure time. Our participants were divided in their expectations of any positive impact on diagnostic accuracy, stemming from deviating levels of trust and reliance on the decision support. Our results provide insights into integrating bias mitigation in the clinical domain amidst a growing dependency on AI support systems.},
	type         = {Conference Paper},
}