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• W4319978642 abstract "Artificial-intelligence-based products increasingly influence decision-making in professional settings. If bias becomes engrained in the design and use of these products, they can reify existing discriminatory structures. This has sparked a discussion regarding the fairness of AI-based products. We add to this discussion by exploring how members of development teams in a medical startup company see their possibilities to influence the gender fairness of the AI-based product they are developing. We conducted workshops to co-design interventions for gender fairness with the development team of an intelligent assistance system for hospital decision makers. While the concept of gendered products was largely unfamiliar, learning about the potential of reification of societal stereotypes through the product they were developing elicited concern. Reflecting on the co-construction of technology and gender, the team was sensitized to the ease with which discrimination creeps into AI-based products, identified empathy and concern as a prerequisite for the development of gender-fair products, saw how previous commitment sets the stage for interventions, was confronted with the fact that facing bias can be taxing and that a lack of clarity regarding the scope of responsibility for preventing bias in AI that might lead to a diffusion of responsibility." @default.
• W4319978642 created "2023-02-11" @default.
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• W4319978642 date "2022-06-19" @default.
• W4319978642 modified "2023-09-29" @default.
• W4319978642 title "Co-Design for Gender Equality in an AI-Based Virtual Assistant for Intensive Care Units" @default.
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• W4319978642 doi "https://doi.org/10.1109/ice/itmc-iamot55089.2022.10033204" @default.
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