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Motivating Transparent Communications About Bias in Healthcare Technology Development.

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Názov: Motivating Transparent Communications About Bias in Healthcare Technology Development.
Autori: Tovmasyan, Anna1,2 a.tovmasyan@reading.ac.uk, Liefgreen, Alice3, Wachter, Sandra2,4, Mittelstadt, Brent2, Weinstein, Netta1,2
Zdroj: Collabra: Psychology. 2025, Vol. 11 Issue 1, p1-16. 16p.
Predmety: *COMPUTER science students, *ARTIFICIAL intelligence, *SOCIAL change, *FRAMES (Social sciences), *CRITICAL analysis
Abstrakt: As healthcare artificial intelligence (AI) systems advance, their capacity for bias (e.g., as a function of patient protected characteristics) increases as well, and these limitations are often left undisclosed by developers. Here, the question arises - does supportive motivational messaging designed to increase buy-in inspire healthcare AI developers to transparently communicate about bias in their technology? Computer science students (Study 1: N=271; Study 2: N=209) were randomly assigned to receive a brief communication framed in either an autonomy-supportive (choice promoting) or controlling (judging and pressuring) way, emphasizing either personal benefits (gaining profit) of transparency or legal implications of non-transparency. Results showed that while communication type was not associated with behavioral intention to engage in an educational course on transparent communication about bias, both internal (self-directed) and external motivation were associated with greater intention to take a course to build transparency-congruent technology skills, as well as with greater ethical voice - intention to speak up in the service of positive transparency-consistent cultural change, and lower antagonism -- i.e., a lower critical perspective regarding the need for transparency. Findings suggest that universities and workplaces should provide students and developers with a broadly supportive motivational climate, rather than a singular brief training. [ABSTRACT FROM AUTHOR]
Databáza: Academic Search Index
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Abstrakt:As healthcare artificial intelligence (AI) systems advance, their capacity for bias (e.g., as a function of patient protected characteristics) increases as well, and these limitations are often left undisclosed by developers. Here, the question arises - does supportive motivational messaging designed to increase buy-in inspire healthcare AI developers to transparently communicate about bias in their technology? Computer science students (Study 1: N=271; Study 2: N=209) were randomly assigned to receive a brief communication framed in either an autonomy-supportive (choice promoting) or controlling (judging and pressuring) way, emphasizing either personal benefits (gaining profit) of transparency or legal implications of non-transparency. Results showed that while communication type was not associated with behavioral intention to engage in an educational course on transparent communication about bias, both internal (self-directed) and external motivation were associated with greater intention to take a course to build transparency-congruent technology skills, as well as with greater ethical voice - intention to speak up in the service of positive transparency-consistent cultural change, and lower antagonism -- i.e., a lower critical perspective regarding the need for transparency. Findings suggest that universities and workplaces should provide students and developers with a broadly supportive motivational climate, rather than a singular brief training. [ABSTRACT FROM AUTHOR]
ISSN:24747394
DOI:10.1525/collabra.136456