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dc.contributor.editorBohni Nielsen, Steffen
dc.contributor.editorMazzeo Rinaldi, Francesco
dc.contributor.editorPetersson, Gustav Jakob
dc.date.accessioned2024-10-25T14:39:24Z
dc.date.available2024-10-25T14:39:24Z
dc.date.issued2025
dc.identifierONIX_20241025_9781040128510_8
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/94001
dc.description.abstractArtificial 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.
dc.languageEnglish
dc.relation.ispartofseriesComparative Policy Evaluation
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
dc.subject.otherProgram Evaluation
dc.subject.otherArtificial Intelligence
dc.subject.otherDigital Technologies
dc.subject.otherGovernance
dc.subject.otherBig Data
dc.subject.otherData Science
dc.titleArtificial Intelligence and Evaluation
dc.title.alternativeEmerging Technologies and Their Implications for Evaluation
dc.typebook
oapen.identifier.doi10.4324/9781003512493
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb
oapen.relation.isbn9781040128510
oapen.relation.isbn9781040128541
oapen.relation.isbn9781003512493
oapen.relation.isbn9781032843896
oapen.imprintRoutledge
oapen.pages330
oapen.place.publicationOxford
peerreview.anonymitySingle-anonymised
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.review.stagePre-publication
peerreview.review.typeProposal
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleProposal review
oapen.review.commentsTaylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required).


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