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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 Eurig; 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
International Journal of Information Management
Swansea University Author: Crick, Tom
Accepted Manuscript under embargo until: 27th January 2021
As far back as the industrial revolution, great leaps in technical innovation 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 po...
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As far back as the industrial revolution, great leaps in technical innovation 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, retail, healthcare, manufacturing, utilities, supply chain and logistics, 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: technological, business and management, science and technology, government and public sector. 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.
This submission was developed from a workshop on Artificial Intelligence (AI), which was held at the School of Management, Swansea University on 13th June 2019. We are very grateful to everyone who attended the workshop and contributed their perspectives during the workshop and as an input to this article. We are also truly appreciative to those who although not able to attend the workshop, provided their valuable perspectives for developing this work. We are also very grateful to our Senior PVC - Professor Hilary Lappin-Scott, the keynote speaker - Mr Lee Waters AM, Deputy Minister for Economy and Transport, National Assembly for Wales and the following panelists from industry and public sector organizations for enriching our understanding of this emerging area by providing their valuable perspectives that have informed the views presented in this article: Ms Sara El-Hanfy, Innovate UK; Mr Peter Chow, AI & Cloud Product Design Manufacturing & Inspection, Fujitsu UK; Ms Kimberley Littlemore, Director of eHealth Digital Media, UK; Mr Chris Reeves, Country Digitisation Director, Cisco UK & Ireland; Mr Adam Wedgbury, Team Leader for Cyber Security Innovation, Airbus; and Mr Toby White, CEO of Artimus, Cardiff, UK. We are also very grateful to our colleagues, Amy Jones and Julie Bromhead, for all their valuable support for organising the workshop. Finally, we are grateful to the Emerging Markets Research Centre (EMaRC), Swansea i-Lab (Innovation Lab), and Department of Business at the School of Management, Swansea University for their financial support in the organising of this workshop.
Artificial intelligence, AI, Cognitive computing, Expert systems, Machine learning, Research
College of Arts and Humanities