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

Yogesh K. Dwivedi; Laurie Hughes; Elvira Ismagilova; Gert Aarts; Crispin Coombs; Tom Crick; Yanqing Duan; Rohita Dwivedi; John Edwards; Aled Eirug; Vassilis Galanos; P. Vigneswara Ilavarasan; Marijn Janssen; Paul Jones; Arpan Kumar Kar; Hatice Kizgin; Bianca Kronemann; Banita Lal; Biagio Lucini; Rony Medaglia; Kenneth Le Meunier-FitzHugh; Leslie Caroline Le Meunier-FitzHugh; Santosh Misra; Emmanuel Mogaji; Sujeet Kumar Sharma; Jang Bahadur Singh; Vishnupriya Raghavan; Ramakrishnan Raman; Nripendra P. Rana; Spyridon Samothrakis; Jak Spencer; Kuttimani Tamilmani; Annie Tubadji; Paul Walton; Michael D. Williams

doi:10.1016/j.ijinfomgt.2019.08.002

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

Yogesh K. Dwivedi^*
, Laurie Hughes
, Elvira Ismagilova
, Gert Aarts
, Crispin Coombs
, Tom Crick
, Yanqing Duan
, Rohita Dwivedi
, John Edwards
, Aled Eirug
, Vassilis Galanos
, P. Vigneswara Ilavarasan
, Marijn Janssen
, Paul Jones
, Arpan Kumar Kar
, Hatice Kizgin
, Bianca Kronemann
, Banita Lal
, Biagio Lucini
, Rony Medaglia

Kenneth Le Meunier-FitzHugh, Leslie Caroline Le Meunier-FitzHugh, Santosh Misra, Emmanuel Mogaji, Sujeet Kumar Sharma, Jang Bahadur Singh, Vishnupriya Raghavan, Ramakrishnan Raman, Nripendra P. Rana, Spyridon Samothrakis, Jak Spencer, Kuttimani Tamilmani, Annie Tubadji, Paul Walton, Michael D. Williams

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3348 Scopus citations

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.

Original language	English
Article number	101994
Journal	International Journal of Information Management
Volume	57
DOIs	https://doi.org/10.1016/j.ijinfomgt.2019.08.002
State	Published - Apr 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Ltd

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

AI
Artificial intelligence
Cognitive computing
Expert systems
Machine learning
Research agenda

ASJC Scopus subject areas

Management Information Systems
Information Systems
Computer Networks and Communications
Information Systems and Management
Marketing
Library and Information Sciences
Artificial Intelligence

Access to Document

10.1016/j.ijinfomgt.2019.08.002

Cite this

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., ... Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, Article 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

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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.",

keywords = "AI, Artificial intelligence, Cognitive computing, Expert systems, Machine learning, Research agenda",

author = "Dwivedi, \{Yogesh K.\} and Laurie Hughes and Elvira Ismagilova and Gert Aarts and Crispin Coombs and Tom Crick and Yanqing Duan and Rohita Dwivedi and John Edwards and Aled Eirug and Vassilis Galanos and Ilavarasan, \{P. Vigneswara\} and Marijn Janssen and Paul Jones and Kar, \{Arpan Kumar\} and Hatice Kizgin and Bianca Kronemann and Banita Lal and Biagio Lucini and Rony Medaglia and \{Le Meunier-FitzHugh\}, Kenneth and \{Le Meunier-FitzHugh\}, \{Leslie Caroline\} and Santosh Misra and Emmanuel Mogaji and Sharma, \{Sujeet Kumar\} and Singh, \{Jang Bahadur\} and Vishnupriya Raghavan and Ramakrishnan Raman and Rana, \{Nripendra P.\} and Spyridon Samothrakis and Jak Spencer and Kuttimani Tamilmani and Annie Tubadji and Paul Walton and Williams, \{Michael D.\}",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2021",

month = apr,

doi = "10.1016/j.ijinfomgt.2019.08.002",

language = "English",

volume = "57",

journal = "International Journal of Information Management",

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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 & Williams, MD 2021, 'Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy', International Journal of Information Management, vol. 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

TY - JOUR

T1 - Artificial Intelligence (AI)

T2 - Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

AU - Dwivedi, Yogesh K.

AU - Hughes, Laurie

AU - Ismagilova, Elvira

AU - Aarts, Gert

AU - Coombs, Crispin

AU - Crick, Tom

AU - Duan, Yanqing

AU - Dwivedi, Rohita

AU - Edwards, John

AU - Eirug, Aled

AU - Galanos, Vassilis

AU - Ilavarasan, P. Vigneswara

AU - Janssen, Marijn

AU - Jones, Paul

AU - Kar, Arpan Kumar

AU - Kizgin, Hatice

AU - Kronemann, Bianca

AU - Lal, Banita

AU - Lucini, Biagio

AU - Medaglia, Rony

AU - Le Meunier-FitzHugh, Kenneth

AU - Le Meunier-FitzHugh, Leslie Caroline

AU - Misra, Santosh

AU - Mogaji, Emmanuel

AU - Sharma, Sujeet Kumar

AU - Singh, Jang Bahadur

AU - Raghavan, Vishnupriya

AU - Raman, Ramakrishnan

AU - Rana, Nripendra P.

AU - Samothrakis, Spyridon

AU - Spencer, Jak

AU - Tamilmani, Kuttimani

AU - Tubadji, Annie

AU - Walton, Paul

AU - Williams, Michael D.

PY - 2021/4

Y1 - 2021/4

N2 - 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.

AB - 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.

KW - AI

KW - Artificial intelligence

KW - Cognitive computing

KW - Expert systems

KW - Machine learning

KW - Research agenda

UR - https://www.scopus.com/pages/publications/85071255877

U2 - 10.1016/j.ijinfomgt.2019.08.002

DO - 10.1016/j.ijinfomgt.2019.08.002

M3 - Article

AN - SCOPUS:85071255877

SN - 0268-4012

VL - 57

JO - International Journal of Information Management

JF - International Journal of Information Management

M1 - 101994

ER -

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

Abstract

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this