Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation

Author:   Steffen Bohni Nielsen ,  Francesco Mazzeo Rinaldi ,  Gustav Jakob Petersson
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032843896


Pages:   316
Publication Date:   25 September 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation


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Author:   Steffen Bohni Nielsen ,  Francesco Mazzeo Rinaldi ,  Gustav Jakob Petersson
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.771kg
ISBN:  

9781032843896


ISBN 10:   1032843896
Pages:   316
Publication Date:   25 September 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

The book is highly relevant, and its publication comes at the perfect time to stimulate reflection on the benefits and challenges of integrating artificial intelligence and emerging technologies into evaluation. The various authors, all renowned experts in the field of program evaluation, draw on their knowhow to offer cutting-edge analyses and prospective solutions for integrating AI technologies into evaluation. In short, this book is an enriching and enlightening read, carried by renowned authors, designed to enlighten minds on a subject of crucial importance in our time. Steve Jacob, Professor of Political Science, Laval University AI is poised to change the field of evaluation in a multitude of ways, yet the evidence base is still slim. This book is a welcome addition to the literature on emerging technologies and their implications for evaluation. Key reasons that evaluators were not taking up big data approaches included a lack of relevant use cases for the public and not-for-profit sectors and a mistrust of big data approaches due to ethical concerns. This book provides a rich set of potential use cases, documentation and learning from those examples, and an exploration of ethics and equity themes related to data science and evaluation, and offers an important contribution to the literature base for the use of AI in evaluation. The work comes at an important time for the Evaluation field, when interest in AI is quite high yet, in many cases, capacity and knowledge need to be enhanced and supplemented. It offers a unique perspective on ways that AI can be integrated into Evaluation, drawing on the work of well-respected evaluation professionals and academics who have long-standing experience to share. Linda Raftree, Founder, MERL Tech


Author Information

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.

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