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

Искусственный интеллект (ИИ): междисциплинарные перспективы новых вызовов, возможностей и повестки исследований, практики и политики
Arpan Kumar Kar, Yogesh K. Dwivedi, Nripendra P. Rana, Marijn Janssen, Yanqing Duan, John S. Edwards, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Rohita Dwivedi, Aled Eirug, Vassilis Galanos, P. Vigneswara Ilavarasan, Paul Jones, Hatice Kizgin, Bianca Kronemann, Banita Lal, Biagio Lucini, Rony Medaglia, Kenneth Le Meunier‐FitzHugh, Leslie Caroline Le Meunier-FitzHugh, Santosh K. Misra, Emmanuel Mogaji, Sujeet Kumar Sharma, Jang Bahadur Singh, Vishnupriya Raghavan, Ramakrishnan Raman, Spyridon Samothrakis, Jak Spencer, Kuttimani Tamilmani, Annie Tubadji, Paul Walton, Michael D. Williams
2019-08-27

AI applicationsAI policyArtificial intelligenceAutonomous decision-makingMachine learning
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.
1
AI has transformative potential to augment or replace human tasks across industrial, intellectual, and social applications.
2
AI may significantly disrupt finance, healthcare, manufacturing, retail, supply chains, logistics, and utilities.
3
Rapid advances in machine learning and autonomous decision-making are creating substantial opportunities for continued innovation.
4
The pace and direction of AI development are shaped by reciprocal societal and industrial influences.
5
The study synthesizes expert perspectives on AI opportunities, realistic impacts, challenges, and research priorities across business, government, public-sector, and scientific domains.

Artificial Intelligence (AI) as a multidisciplinary technological phenomenon

AI-driven transformation, impacts, opportunities, challenges, and research priorities for human tasks and activities

Publication Details
Publication Date
2019-08-27
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Authors
Arpan Kumar Kar
Yogesh K. Dwivedi
Nripendra P. Rana
Marijn Janssen
Yanqing Duan
John S. Edwards
Laurie Hughes
Elvira Ismagilova
Gert Aarts
Crispin Coombs
Tom Crick
Rohita Dwivedi
Aled Eirug
Vassilis Galanos
P. Vigneswara Ilavarasan
Paul Jones
Hatice Kizgin
Bianca Kronemann
Banita Lal
Biagio Lucini
Rony Medaglia
Kenneth Le Meunier‐FitzHugh
Leslie Caroline Le Meunier-FitzHugh
Santosh K. Misra
Emmanuel Mogaji
Sujeet Kumar Sharma
Jang Bahadur Singh
Vishnupriya Raghavan
Ramakrishnan Raman
Spyridon Samothrakis
Jak Spencer
Kuttimani Tamilmani
Annie Tubadji
Paul Walton
Michael D. Williams
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