Coverage of ethics within the artificial intelligence and machine learning academic literature: The case of disabled people

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dc.contributor.authorLillywhite, Aspen
dc.contributor.authorWolbring, Gregor
dc.date.accessioned2020-05-04T21:00:44Z
dc.date.available2020-05-04T21:00:44Z
dc.date.issued2019-04-17
dc.description.abstractDisabled people are often the anticipated users of scientific and technological products and processes advanced and enabled by artificial intelligence (AI) and machine learning (ML). Disabled people are also impacted by societal impacts of AI/ML. Many ethical issues are identified within AI/ML as fields and within individual applications of AI/ML. At the same time, problems have been identified in how ethics discourses engage with disabled people. The aim of our scoping review was to better understand to what extent and how the AI/ML focused academic literature engaged with the ethics of AI/ML in relation to disabled people. Of the n = 1659 abstracts engaging with AI/ML and ethics downloaded from Scopus (which includes all Medline articles) and the 70 databases of EBSCO ALL, we found 54 relevant abstracts using the term "patient" and 11 relevant abstracts mentioning terms linked to "impair*", "disab*" and "deaf". Our study suggests a gap in the literature that should be filled given the many AI/ML related ethical issues identified in the literature and their impact on disabled people.en_US
dc.description.grantingagencyCanadian Institutes of Health Research (CIHR)en_US
dc.identifier.citationLillywhite, A., & Wolbring, G. (2019). Coverage of ethics within the artificial intelligence and machine learning academic literature: The case of disabled people, "Assistive Technology". DOI: 10.1080/10400435.2019.1593259en_US
dc.identifier.doihttp://dx.doi.org/10.1080/10400435.2019.1593259en_US
dc.identifier.grantnumberERN 155204 in cooperation with ERA-NET NEURON JTC 2017en_US
dc.identifier.urihttp://hdl.handle.net/1880/111989
dc.language.isoengen_US
dc.publisher.departmentCommunity Health Sciencesen_US
dc.publisher.facultyCumming School of Medicineen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.subjectdisabled people; people with disabilities; artificial intelligence; machine learning; ethicsen_US
dc.titleCoverage of ethics within the artificial intelligence and machine learning academic literature: The case of disabled peopleen_US
dc.typejournal articleen_US
ucalgary.item.requestcopytrueen_US
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