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The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions

Keng-Boon Ooi, Garry Wei-Han Tan, Mostafa Al-Emran Orcid Logo, Mohammed A. Al-Sharafi Orcid Logo, Alexandru Capatina, Amrita Chakraborty, Yogesh Dwivedi Orcid Logo, Tzu-Ling Huang, Arpan Kumar Kar, Voon-Hsien Lee, Xiu-Ming Loh, Adrian Micu, Patrick Mikalef, Emmanuel Mogaji, Neeraj Pandey, Ramakrishnan Raman, Nripendra P. Rana, Prianka Sarker, Anshuman Sharma, Ching-I Teng, Samuel Fosso Wamba, Lai-Wan Wong

Journal of Computer Information Systems, Pages: 1 - 32

Swansea University Author: Yogesh Dwivedi Orcid Logo

Abstract

In a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. This is because of its potential to cause drastic and widespread shifts in many aspects of life that are comparable to those of the Internet...

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Published in: Journal of Computer Information Systems
ISSN: 0887-4417 2380-2057
Published: Informa UK Limited 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa64557
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Abstract: In a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. This is because of its potential to cause drastic and widespread shifts in many aspects of life that are comparable to those of the Internet and smartphones. More specifically, generative AI utilizes machine learning, neural networks, and other techniques to generate new content (e.g. text, images, music) by analyzing patterns and information from the training data. This has enabled generative AI to have a wide range of applications, from creating personalized content to improving business operations. Despite its many benefits, there are also significant concerns about the negative implications of generative AI. In view of this, the current article brings together experts in a variety of fields to expound and provide multi-disciplinary insights on the opportunities, challenges, and research agendas of generative AI in specific industries (i.e. marketing, healthcare, human resource, education, banking, retailing, the workplace, manufacturing, and sustainable IT management).
Keywords: Generative artificial intelligence, machine learning, large language model, ChatGPT, Bard
College: Faculty of Humanities and Social Sciences
Start Page: 1
End Page: 32