"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support

Anne Bach; Trine Munch Nørgaard; Jens Christian Brok; Niels van Berkel

doi:10.1145/3544548.3581513

"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support

Anne Bach, Trine Munch Nørgaard, Jens Christian Brok, Niels van Berkel^*

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

4 Citations (Scopus)

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 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.

Original language	English
Title of host publication	CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Number of pages	14
Publisher	Association for Computing Machinery
Publication date	19 Apr 2023
Pages	1-14
Article number	16
ISBN (Electronic)	978-1-4503-9421-5
DOIs	https://doi.org/10.1145/3544548.3581513
Publication status	Published - 19 Apr 2023
Event	2023 ACM CHI Conference on Human Factors in Computing Systems, CHI 23 - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023

Conference

Conference	2023 ACM CHI Conference on Human Factors in Computing Systems, CHI 23
Country/Territory	Germany
City	Hamburg
Period	23/04/2023 → 28/04/2023

Keywords

AI support
CDSS
Cognitive bias
DSS
anchoring bias
artificial intelligence
bias mitigation
decision support
ophthalmology

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10.1145/3544548.3581513

https://nielsvanberkel.com/files/publications/chi2023a.pdf

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Bach, A., Munch Nørgaard, T., Christian Brok, J., & van Berkel, N. (2023). "If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support. In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-14). Article 16 Association for Computing Machinery. https://doi.org/10.1145/3544548.3581513

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title = "{"}If I Had All the Time in the World{"}: Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support",

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 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.",

keywords = "AI support, CDSS, Cognitive bias, DSS, anchoring bias, artificial intelligence, bias mitigation, decision support, ophthalmology",

author = "Anne Bach and {Munch N{\o}rgaard}, Trine and {Christian Brok}, Jens and {van Berkel}, Niels",

year = "2023",

month = apr,

day = "19",

doi = "10.1145/3544548.3581513",

language = "English",

pages = "1--14",

booktitle = "CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery",

address = "United States",

note = "2023 ACM CHI Conference on Human Factors in Computing Systems, CHI 23 ; Conference date: 23-04-2023 Through 28-04-2023",

}

Bach, A, Munch Nørgaard, T, Christian Brok, J & van Berkel, N 2023, "If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support. in CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 16, Association for Computing Machinery, pp. 1-14, 2023 ACM CHI Conference on Human Factors in Computing Systems, CHI 23, Hamburg, Germany, 23/04/2023. https://doi.org/10.1145/3544548.3581513

"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support. / Bach, Anne; Munch Nørgaard, Trine; Christian Brok, Jens et al.
CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. p. 1-14 16.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - van Berkel, Niels

PY - 2023/4/19

Y1 - 2023/4/19

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AB - 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.

KW - AI support

KW - CDSS

KW - Cognitive bias

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KW - artificial intelligence

KW - bias mitigation

KW - decision support

KW - ophthalmology

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ER -

"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support

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