Dwivedi, Yogesh Kumar, Kshetri, Nir, Hughes, Laurie, Slade, Emma Louise, Jeyaraj, Anand, Kumar Kar, Arpan, 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, De, Rahul, Dennehy, Denis, Duan, Yanqing, Dubey, Rameshwar, Dwivedi, Rohita, Edwards, John, Flavian, 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, Horn Nord, Jeretta, O'Connor, Siobhan, Okumus, Fevzi, Pagani, Margherita, Pandey, Neeraj, Papagiannidis, Savvas, Pappas, Ilias O, Pathak, Nishith, Pries-Heje, Jan, Raman, Ramakrishnan, Rana, Nripendra P, Rehm, Sven-Volker, Ribeiro-Navarrete, Samuel, Richter, Alexander, Rowe, Frantz, Sarker, Suprateek, Stahl, Bernd Carsten, Tiwani, Manoj Kumar, van der Aalst, Wil, Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen and Wright, Ryan (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 ,
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.
Publication DOI: | https://doi.org/10.1016/j.ijinfomgt.2023.102642 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management College of Business and Social Sciences > Aston Business School > Cyber Security Innovation (CSI) Research Centre |
Additional Information: | Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/) |
Uncontrolled Keywords: | Conversational agent,Generative artificial intelligence,Generative AI,ChatGPT,Large language models,Management of Technology and Innovation,Management Information Systems,Artificial Intelligence,Information Systems and Management |
Publication ISSN: | 1873-4707 |
Last Modified: | 06 Aug 2024 09:44 |
Date Deposited: | 21 Mar 2023 11:40 |
Full Text Link: | |
Related URLs: |
https://www.sci ... 268401223000233
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2023-08-01 |
Published Online Date: | 2023-03-11 |
Accepted Date: | 2023-03-01 |
Authors: |
Dwivedi, Yogesh Kumar
Kshetri, Nir Hughes, Laurie Slade, Emma Louise Jeyaraj, Anand Kumar Kar, Arpan 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 De, Rahul Dennehy, Denis Duan, Yanqing Dubey, Rameshwar Dwivedi, Rohita Edwards, John ( ![]() Flavian, 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 Horn Nord, Jeretta O'Connor, Siobhan Okumus, Fevzi Pagani, Margherita Pandey, Neeraj Papagiannidis, Savvas Pappas, Ilias O Pathak, Nishith Pries-Heje, Jan Raman, Ramakrishnan Rana, Nripendra P Rehm, Sven-Volker Ribeiro-Navarrete, Samuel Richter, Alexander Rowe, Frantz Sarker, Suprateek Stahl, Bernd Carsten Tiwani, Manoj Kumar van der Aalst, Wil Venkatesh, Viswanath Viglia, Giampaolo Wade, Michael Walton, Paul Wirtz, Jochen Wright, Ryan |
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