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.
N1 - Epub ahead of print. Published online: 27. August 2019
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 - Artificial intelligence
KW - AI
KW - Cognitive computing
KW - Expert systems
KW - Machine learning
KW - Research agenda
KW - Artificial intelligence
KW - AI
KW - Cognitive computing
KW - Expert systems
KW - Machine learning
KW - Research agenda
U2 - 10.1016/j.ijinfomgt.2019.08.002
DO - 10.1016/j.ijinfomgt.2019.08.002
M3 - Journal article
SN - 0268-4012
VL - 57
JO - International Journal of Information Management
JF - International Journal of Information Management
M1 - 101994
ER -
