Dwivedi, YK, Hughes, L, Ismagilova, E, Aarts, G, Coombs, C, Crick, T, Duan, Y, Dwivedi, R, Edwards, J, Eirug, A, Galanos, V, Ilavarasan, PV, Janssen, M, Jones, P, Kar, AK, Kizgin, H, Kronemann, B, Lal, B, Lucini, B, Medaglia, R, Le Meunier-FitzHugh, K, Le Meunier-FitzHugh, LC, Misra, S, Mogaji, E, Sharma, SK, Singh, JB, Raghavan, V, Raman, R, Rana, NP, Samothrakis, S, Spencer, J, Tamilmani, K, Tubadji, A, Walton, P and Williams, MD (2021) Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. 101994 - 101994. ISSN 0268-4012

[thumbnail of AI.pdf] Text
AI.pdf - Accepted Version

Download (0B)
[thumbnail of 2019-Consolidated_AI_paper02.08.2019.pdf]
2019-Consolidated_AI_paper02.08.2019.pdf - Accepted Version

Download (1MB) | Preview


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.

Item Type: Article
Additional Information: © 2019 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. The final version of this article and all relevant information related to it, including copyrights, can be found on the publisher website.
Subjects: H Social Sciences > HA Statistics
Q Science > Q Science (General) > Q335 Artificial Intelligence
T Technology > T Technology (General)
T Technology > T Technology (General) > T201 Patents. Trademarks
Divisions: Faculty of Humanities and Social Sciences > Keele Business School
Related URLs:
Depositing User: Symplectic
Date Deposited: 23 May 2023 10:05
Last Modified: 23 May 2023 10:05
URI: https://eprints.keele.ac.uk/id/eprint/12675

Actions (login required)

View Item
View Item