Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy.

Yogesh K. Dwivedi; 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; Bernd Carsten Stahl; Manoj Kumar Tiwari; Wil van der Aalst; Viswanath Venkatesh; Giampaolo Viglia; Michael Wade; Paul Walton; Jochen Wirtz; Ryan Wright

doi:10.1016/j.ijinfomgt.2023.102642

Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy.

Yogesh K. Dwivedi^*, 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 CarterSoumyadeb 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, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil van der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright

^*Corresponding author for this work

Information Systems

Research output: Contribution to journal › Article › peer-review

1284 Citations (Scopus)

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.

Original language	English
Article number	102642
Pages (from-to)	102642
Number of pages	1
Journal	International Journal of Information Management
Volume	71
DOIs	https://doi.org/10.1016/j.ijinfomgt.2023.102642
Publication status	Published - Aug 1 2023

Keywords

ChatGPT
Conversational agent
Generative AI
Generative artificial intelligence
Large language models

ASJC Scopus subject areas

Management Information Systems
Information Systems
Computer Networks and Communications
Information Systems and Management
Marketing
Library and Information Sciences
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ijinfomgt.2023.102642

Cite this

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., ... Wright, R. (2023). Opinion Paper: "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, 102642. Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Opinion Paper: "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 et al.
In: International Journal of Information Management, Vol. 71, 102642, 01.08.2023, p. 102642.

Research output: Contribution to journal › Article › peer-review

Dwivedi, YK, Kshetri, N, Hughes, L, Slade, EL, Jeyaraj, A, Kar, AK, Baabdullah, AM, Koohang, A, Raghavan, V, Ahuja, M, Albanna, H, Albashrawi, MA, Al-Busaidi, AS, Balakrishnan, J, Barlette, Y, Basu, S, Bose, I, Brooks, L, Buhalis, D, Carter, L, Chowdhury, S, Crick, T, Cunningham, SW, Davies, GH, Davison, RM, Dé, R, Dennehy, D, Duan, Y, Dubey, R, Dwivedi, R, Edwards, JS, Flavián, C, Gauld, R, Grover, V, Hu, MC, Janssen, M, Jones, P, Junglas, I, Khorana, S, Kraus, S, Larsen, KR, Latreille, P, Laumer, S, Malik, FT, Mardani, A, Mariani, M, Mithas, S, Mogaji, E, Nord, JH, O'Connor, S, Okumus, F, Pagani, M, Pandey, N, Papagiannidis, S, Pappas, IO, Pathak, N, Pries-Heje, J, Raman, R, Rana, NP, Rehm, SV, Ribeiro-Navarrete, S, Richter, A, Rowe, F, Sarker, S, Stahl, BC, Tiwari, MK, van der Aalst, W, Venkatesh, V, Viglia, G, Wade, M, Walton, P, Wirtz, J & Wright, R 2023, 'Opinion Paper: "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, vol. 71, 102642, pp. 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kar AK et al. Opinion Paper: "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. 2023 Aug 1;71:102642. 102642. doi: 10.1016/j.ijinfomgt.2023.102642

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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.",

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AU - Hughes, Laurie

AU - Slade, Emma Louise

AU - Jeyaraj, Anand

AU - Kar, Arpan Kumar

AU - Baabdullah, Abdullah M.

AU - Koohang, Alex

AU - Raghavan, Vishnupriya

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AU - Crick, Tom

AU - Cunningham, Scott W.

AU - Davies, Gareth H.

AU - Davison, Robert M.

AU - Dé, Rahul

AU - Dennehy, Denis

AU - Duan, Yanqing

AU - Dubey, Rameshwar

AU - Dwivedi, Rohita

AU - Edwards, John S.

AU - Flavián, Carlos

AU - Gauld, Robin

AU - Grover, Varun

AU - Hu, Mei Chih

AU - Janssen, Marijn

AU - Jones, Paul

AU - Junglas, Iris

AU - Khorana, Sangeeta

AU - Kraus, Sascha

AU - Larsen, Kai R.

AU - Latreille, Paul

AU - Laumer, Sven

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AU - Pandey, Neeraj

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AU - Pappas, Ilias O.

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AU - Rowe, Frantz

AU - Sarker, Suprateek

AU - Stahl, Bernd Carsten

AU - Tiwari, Manoj Kumar

AU - van der Aalst, Wil

AU - Venkatesh, Viswanath

AU - Viglia, Giampaolo

AU - Wade, Michael

AU - Walton, Paul

AU - Wirtz, Jochen

AU - Wright, Ryan

N1 - Publisher Copyright: © 2023 The Authors DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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N2 - 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.

AB - 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.

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Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy.

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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