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    AI Ethics in Higher Education: Insights from Africa and Beyond

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    Contributor(s)
    Corrigan, Caitlin C. (editor)
    Asakipaam, Simon Atuah (editor)
    Kponyo, Jerry John (editor)
    Luetge, Christoph (editor)
    Language
    English
    Show full item record
    Abstract
    This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.
    URI
    https://library.oapen.org/handle/20.500.12657/61297
    Keywords
    Artificial Intelligence Ethics; African AI Ethics; Responsible Use of Technology; Computer Science Training; Higher Education in Africa
    DOI
    10.1007/978-3-031-23035-6
    ISBN
    9783031230356, 9783031230356
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2023
    Grantor
    • Technische Universität München - [...]
    Imprint
    Springer International Publishing
    Series
    SpringerBriefs in Ethics,
    Classification
    Ethics and moral philosophy
    Computer science
    Pages
    101
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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