2019
DOI: 10.1016/j.future.2019.02.041
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Advanced technologies and systems for collaboration and computer supported cooperative work

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Cited by 5 publications
(5 citation statements)
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“…Importantly for this article, this excerpt from the interview highlights how the objective of AI development is to build models that are accurate enough and highlights how accuracy is negotiated (Mackenzie, 1990) which for Laurent and Thoreau (2019: 165) (Carusi, 2016): labels/codes become essential criteria and underpin judgements about the accuracy of validation tests (Scheek et al, 2021). Importantly, for this article, internal validation tests provide further opportunities to mediate practice-orientated trust between collaborators (Clarke et al, 2006a(Clarke et al, , 2006bOudshoorn, 2008;Kuutti and Bannon, 2014;Papangelis et al, 2019). The next section will illustrate how this trust building deepens, paying particular attention to how clinical experts generate meaning with respect to the labels/codes or variables in the model -a process which is particularly useful when it comes to the 'interpretability' of outputs and continues the bridging between internal and external validation.…”
Section: Internal Validationmentioning
confidence: 95%
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“…Importantly for this article, this excerpt from the interview highlights how the objective of AI development is to build models that are accurate enough and highlights how accuracy is negotiated (Mackenzie, 1990) which for Laurent and Thoreau (2019: 165) (Carusi, 2016): labels/codes become essential criteria and underpin judgements about the accuracy of validation tests (Scheek et al, 2021). Importantly, for this article, internal validation tests provide further opportunities to mediate practice-orientated trust between collaborators (Clarke et al, 2006a(Clarke et al, , 2006bOudshoorn, 2008;Kuutti and Bannon, 2014;Papangelis et al, 2019). The next section will illustrate how this trust building deepens, paying particular attention to how clinical experts generate meaning with respect to the labels/codes or variables in the model -a process which is particularly useful when it comes to the 'interpretability' of outputs and continues the bridging between internal and external validation.…”
Section: Internal Validationmentioning
confidence: 95%
“…Indeed, the complexity of 'repurposing' data to serve secondary purposes beyond the practices of its initial use (Bonde et al, 2019;Bossen and Piras, 2020) challenges our radiologist to work with conflicting qualities or ambiguities of data and the activities needed to ensure the 'correctness' of data (Bjørnstad and Ellingsen, 2019). Importantly for this article, the radiologist's reconstruction of diagnoses through negotiation and refinement of diagnostic criteria reminds us of how trust can actually be engendered in a practical situation (Clarke et al, 2006a;2006b;Oudshoorn, 2008;Papangelis et al, 2019) and moreover, calls attention to their 'articulation work' (a form of invisible work) that "gets things back on track" when unanticipated situations arise (Star and Strauss, 1999: 10).…”
Section: Laying the Ground For Validation: Querying Datasets Building...mentioning
confidence: 97%
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