Image from Google Jackets

Artificial intelligence and evaluation : emerging technologies and their implications for evaluation / edited by Steffen Bohni Nielsen, Francesco Mazzeo Rinaldi, Gustav Jakob Petersson.

Contributor(s): Material type: TextTextSeries: Comparative policy evaluation (Routledge)Publisher: New York, NY : Routledge, 2024Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 1003512496
  • 9781040128510
  • 1040128513
  • 9781040128541
  • 1040128548
  • 9781003512493
Subject(s): Additional physical formats: Print version:: Artificial intelligence and evaluationDDC classification:
  • 001.4 23/eng/20240725
LOC classification:
  • H62
Online resources: Summary: "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 debates 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"-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

"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 debates 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"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher; resource not viewed.

Steffen Bohni Nielsen (PhD) is Director General at the Danish National Research Centre for the Working Environment, and a member of the Danish National Research and Innovation Council. He is a member of the International Evaluation Research Group (INTEVAL) and has published extensively in the field of evaluation. Francesco Mazzeo Rinaldi (PhD) is Professor at the University of Catania, Italy, and serves as the Director of the University's Research Center, LAPOSS. His main research interests include program and policy evaluation, Big Data analytics, and Artificial Intelligence. He is a member of the International Evaluation Research Group (INTEVAL). Gustav Jakob Petersson (PhD) is Senior Analyst at the Swedish Research Council. He is a member of the International Evaluation Research Group (INTEVAL) and has co-edited one of its volumes on cyber society, Big Data, and evaluation in 2017.

Some versions: Open access versions available from some providers

Added to collection customer.56279.3

There are no comments on this title.

to post a comment.