Yogesh K. Dwivedi
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
Dwivedi, Yogesh K.; Kshetri, Nir; Hughes, Laurie; Slade, Emma Louise; Jeyaraj, Anand; Kar, Arpan Kumar; Baabdullah, Abdullah M.; Koohang, Alex; Raghavan, Vishnupriya; Ahuja, Manju; Albanna, Hanaa; Albashrawi, Mousa Ahmad; Al-Busaidi, Adil S.; Balakrishnan, Janarthanan; Barlette, Yves; Basu, Sriparna; Bose, Indranil; Brooks, Laurence; Buhalis, Dimitrios; Carter, Lemuria; Chowdhury, Soumyadeb; Crick, Tom; Cunningham, Scott W.; Davies, Gareth H.; Davison, Robert M.; Dé, Rahul; Dennehy, Denis; Duan, Yanqing; Dubey, Rameshwar; Dwivedi, Rohita; Edwards, John S.; Flavián, Carlos; Gauld, Robin; Grover, Varun; Hu, Mei-Chih; Janssen, Marijn; Jones, Paul; Junglas, Iris; Khorana, Sangeeta; Kraus, Sascha; Larsen, Kai R.; Latreille, Paul; Laumer, Sven; Malik, F. Tegwen; Mardani, Abbas; Mariani, Marcello; Mithas, Sunil; Mogaji, Emmanuel; Nord, Jeretta Horn; O’Connor, Siobhan; Okumus, Fevzi; Pagani, Margherita; Pandey, Neeraj; Papagiannidis, Savvas; Pappas, Ilias O.; Pathak, Nishith; Pries-Heje, Jan;...
Authors
Nir Kshetri
Laurie Hughes
Emma Louise Slade
Anand Jeyaraj
Arpan Kumar Kar
Abdullah M. Baabdullah
Alex Koohang
Vishnupriya Raghavan
Manju Ahuja
Hanaa Albanna
Mousa Ahmad Albashrawi
Adil S. Al-Busaidi
Janarthanan Balakrishnan
Yves Barlette
Sriparna Basu
Indranil Bose
Laurence Brooks
Dimitrios Buhalis
Lemuria Carter
Soumyadeb Chowdhury
Tom Crick
Scott W. Cunningham
Gareth H. Davies
Robert M. Davison
Rahul Dé
Denis Dennehy
Yanqing Duan
Rameshwar Dubey
Rohita Dwivedi
John S. Edwards
Carlos Flavián
Robin Gauld
Varun Grover
Mei-Chih Hu
Marijn Janssen
Paul Jones
Iris Junglas
Sangeeta Khorana
Sascha Kraus
Kai R. Larsen
Paul Latreille
Sven Laumer
F. Tegwen Malik
Abbas Mardani
Marcello Mariani
Sunil Mithas
Emmanuel Mogaji
Jeretta Horn Nord
Siobhan O’Connor
Fevzi Okumus
Margherita Pagani
Neeraj Pandey
Savvas Papagiannidis
Ilias O. Pappas
Nishith Pathak
Jan Pries-Heje
Ramakrishnan Raman
Nripendra P. Rana
Sven-Volker Rehm
Samuel Ribeiro-Navarrete
Alexander Richter
Frantz Rowe
Suprateek Sarker
Professor BERND STAHL Bernd.Stahl@nottingham.ac.uk
Professor of Critical Research in Technology
Manoj Kumar Tiwari
Wil van der Aalst
Viswanath Venkatesh
Giampaolo Viglia
Michael Wade
Paul Walton
Jochen Wirtz
Ryan Wright
Contributors
Professor BERND STAHL Bernd.Stahl@nottingham.ac.uk
Other
Abstract
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts.
Citation
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., …Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 2, 2023 |
Online Publication Date | Mar 11, 2023 |
Publication Date | 2023-08 |
Deposit Date | Mar 13, 2023 |
Publicly Available Date | Mar 15, 2023 |
Journal | International Journal of Information Management |
Print ISSN | 0268-4012 |
Publisher | Elsevier |
Peer Reviewed | Not Peer Reviewed |
Volume | 71 |
Article Number | 102642 |
DOI | https://doi.org/10.1016/j.ijinfomgt.2023.102642 |
Keywords | Library and Information Sciences; Computer Networks and Communications; Information Systems |
Public URL | https://nottingham-repository.worktribe.com/output/18482953 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0268401223000233?via%3Dihub |
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