Title
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Author
Dwivedi, Yogesh K. (Swansea University)
Hughes, Laurie (Swansea University)
Ismagilova, Elvira (Bradford University)
Aarts, Gert (Swansea University)
Coombs, Crispin (CREST Loughborough University)
Crick, Tom (Swansea University)
Duan, Yanqing (University of Bedfordshire)
Dwivedi, Rohita (Prin. L.N. Welingkar Institute of Management Development & Research)
Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology) 
Date
2019
Abstract
As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
Subject
AI
Artificial intelligence
Cognitive computing
Expert systems
Machine learning
Research agenda
To reference this document use:
http://resolver.tudelft.nl/uuid:7bdae86a-0209-4e53-83d0-c531dd3465ec
DOI
https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Embargo date
2020-02-27
ISSN
0268-4012
Source
International Journal of Information Management, 57
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2019 Yogesh K. Dwivedi, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, M.F.W.H.A. Janssen, More Authors