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Artificial Intelligence (AI): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

  • Yogesh K. Dwivedi(corresponding author)
    ,
  • Laurie Hughes
    ,
  • Elvira Ismagilova
    ,
  • Gert Aarts
    ,
  • Crispin Coombs
    ,
  • Tom Crick
*Corresponding author for this work
Research Output:
Contribution to journal
Article
 Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well
  • SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Article number

101994

Journal (Volume, Issue Number)

International Journal of Information Management (Volume 57, Issue 101994)

Publication milestones

  • Accepted/In press - 01/08/2019
  • Published - 27/08/2019

Publication status

Published - 27/08/2019

ISSN

0268-4012

Publication IDs

  • handle.net: 10547/623613
  • Scopus: 85071255877

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