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    Artificial Intelligence and Evaluation

    Proposal review

    Emerging Technologies and Their Implications for Evaluation

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    Contributor(s)
    Bohni Nielsen, Steffen (editor)
    Mazzeo Rinaldi, Francesco (editor)
    Petersson, Gustav Jakob (editor)
    Language
    English
    Show full item record
    Abstract
    Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
    URI
    https://library.oapen.org/handle/20.500.12657/94001
    Keywords
    Program Evaluation; Artificial Intelligence; Digital Technologies; Governance; Big Data; Data Science
    DOI
    10.4324/9781003512493
    ISBN
    9781040128510, 9781040128541, 9781003512493, 9781032843896, 9781040128510
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    Oxford, 2025
    Imprint
    Routledge
    Series
    Comparative Policy Evaluation,
    Classification
    Public administration
    Artificial intelligence
    Automatic control engineering
    Pages
    330
    Rights
    https://creativecommons.org/licenses/by-nc-nd/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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