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Coverage of well-being within artificial intelligence, machine learning and robotics academic literature: the case of disabled people

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Abstract

Well-being is an important policy concept including in discussions around the use of artificial intelligence, machine learning and robotics. Disabled people experience challenges in their well-being. Therefore, the aim of our scoping review study of academic abstracts employing Scopus, IEEE Xplore, Compendex and the 70 databases from EBSCO-HOST as sources was to better understand how academic literature focusing on AI/ML/robotics engages with well-being in relation to disabled people. Our objective was to answer the following research question: how and to what extent does the AI/ML/robot literature we covered include well-being in relation to disabled people? We found 2071 academic abstracts covering AI/ML and well-being, and 1055 covering robotics and well-being. Within these abstracts, only 39 covered AI/ML and 48 robotics and well-being in relation to disabled people. The tone of the coverage was techno-positive and techno-optimistic arguing that AI/ML/robotics could improve the well-being of disabled people in general or improve well-being by helping disabled people overcome their ‘disability’ or make tasks easier. No negative effects that AI/ML/robotics could have or has had on the well-being of disabled people were mentioned. Disabled people were portrayed only within patient, client, or user roles but not in their roles as stakeholders in the governance of AI/ML/robotics discussions. This biased and limited coverage of the impact of AI/ML/robotics on the well-being of disabled people disempowers disabled people.

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  1. Faculty of Medicine and Dentistry, University of Alberta, Alberta, Canada

    Aspen Lillywhite

  2. Community Rehabilitation and Disability Studies, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

    Gregor Wolbring

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Lillywhite, A., Wolbring, G. Coverage of well-being within artificial intelligence, machine learning and robotics academic literature: the case of disabled people. AI & Soc (2023). https://doi.org/10.1007/s00146-023-01735-9

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