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    Ethical Framework for Artificial Intelligence and Digital Technologies

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    Publication date
    2022-02
    End of Embargo
    2023-10-05
    Author
    Ashok, M.
    Madan, R.
    Joha, A.
    Sivarajah, Uthayasankar
    Keyword
    Artificial intelligence
    AI
    Digital ethics
    Digital technologies and archetypes
    PRISMA
    Systematic literature review
    Ontological framework
    Rights
    © 2021 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
    Peer-Reviewed
    Yes
    Open Access status
    Green
    
    Metadata
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    Abstract
    The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a profound socio-technical transformation. Governments and AI scholarship have endorsed key AI principles but lack direction at the implementation level. Through a systematic literature review of 59 papers, this paper contributes to the critical debate on the ethical use of AI in DTs beyond high-level AI principles. To our knowledge, this is the first paper that identifies 14 digital ethics implications for the use of AI in seven DT archetypes using a novel ontological framework (physical, cognitive, information, and governance). The paper presents key findings of the review and a conceptual model with twelve propositions highlighting the impact of digital ethics implications on societal impact, as moderated by DT archetypes and mediated by organisational impact. The implications of intelligibility, accountability, fairness, and autonomy (under the cognitive domain), and privacy (under the information domain) are the most widely discussed in our sample. Furthermore, ethical implications related to the governance domain are shown to be generally applicable for most DT archetypes. Implications under the physical domain are less prominent when it comes to AI diffusion with one exception (safety). The key findings and resulting conceptual model have academic and professional implications.
    URI
    http://hdl.handle.net/10454/18608
    Version
    Accepted manuscript
    Citation
    Ashok M, Madan R, Joha A et al (2021) Ethical Framework for Artificial Intelligence and Digital Technologies. International Journal of Information Management. 62: 102433.
    Link to publisher’s version
    https://doi.org/10.1016/j.ijinfomgt.2021.102433
    Type
    Article
    Notes
    The full-text of this article will become publicly available at the end of the publisher embargo on 5 Oct 2023.
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    Management and Law Publications

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