Artificial Intelligence, ethics and privacy

Roger White*, David Bradley

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

    Abstract

    Mechatronics-based technologies are associated with the collection of large volumes of data associated with both systems operation and the users of those systems. This data has the potential to form a major resource in respect of applications ranging from healthcare to energy systems, transport and manufacturing. However, the analysis and interpretation of the data, particularly when associated with the application of Artificial Intelligence (AI), presents many challenges in relation to individual privacy, as well as wider ethical issues associated both with the individual and with the ability of such systems to autonomously make decisions which can impact on the wellbeing of both individuals and larger groups. The chapter, therefore, sets out not to provide specific answers or solutions to the many and various issues associated with the deployment of AI and Big Data analytics, but to help systems designers in identifying those questions that need to be asked. For this reason, the chapter includes a wide-ranging, but by no means all-inclusive or fully comprehensive, bibliography as well as more conventional references as a means of directing and aiding systems designers in identifying problem-specific solutions.
    Original languageEnglish
    Title of host publicationEcoMechatronics
    Subtitle of host publicationchallenges for evolution, development and sustainability
    EditorsPeter Hehenberger, Maki Habib, David Bradley
    Place of PublicationCham
    PublisherSpringer
    Pages129-152
    Number of pages24
    ISBN (Electronic)9783031075551
    ISBN (Print)9783031075544
    DOIs
    Publication statusE-pub ahead of print - 22 Nov 2022

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