Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. (April 2021)
- Record Type:
- Journal Article
- Title:
- Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. (April 2021)
- Main Title:
- Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
- Authors:
- Dwivedi, Yogesh K.
Hughes, Laurie
Ismagilova, Elvira
Aarts, Gert
Coombs, Crispin
Crick, Tom
Duan, Yanqing
Dwivedi, Rohita
Edwards, John
Eirug, Aled
Galanos, Vassilis
Ilavarasan, P. Vigneswara
Janssen, Marijn
Jones, Paul
Kar, Arpan Kumar
Kizgin, Hatice
Kronemann, Bianca
Lal, Banita
Lucini, Biagio
Medaglia, Rony
Le Meunier-FitzHugh, Kenneth
Le Meunier-FitzHugh, Leslie Caroline
Misra, Santosh
Mogaji, Emmanuel
Sharma, Sujeet Kumar
Singh, Jang Bahadur
Raghavan, Vishnupriya
Raman, Ramakrishnan
Rana, Nripendra P.
Samothrakis, Spyridon
Spencer, Jak
Tamilmani, Kuttimani
Tubadji, Annie
Walton, Paul
Williams, Michael D.
… (more) - Abstract:
- 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.
- Is Part Of:
- International journal of information management. Volume 57(2021)
- Journal:
- International journal of information management
- Issue:
- Volume 57(2021)
- Issue Display:
- Volume 57, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 57
- Issue:
- 2021
- Issue Sort Value:
- 2021-0057-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04
- Subjects:
- Artificial intelligence -- AI -- Cognitive computing -- Expert systems -- Machine learning -- Research agenda
Social sciences -- Information services -- Periodicals
Social sciences -- Research -- Periodicals
Information science -- Periodicals
Management information systems -- Periodicals
Knowledge management -- Periodicals
Sciences sociales -- Documentation, Services de -- Périodiques
Sciences sociales -- Recherche -- Périodiques
Sciences de l'information -- Périodiques
Systèmes d'information de gestion -- Périodiques
Information science
Management information systems
Social sciences -- Information services
Social sciences -- Research
Periodicals
Electronic journals
025.52068 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02684012 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijinfomgt.2019.08.002 ↗
- Languages:
- English
- ISSNs:
- 0268-4012
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.304900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15807.xml