TY - JOUR
T1 - Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy.
AU - Dwivedi, Yogesh K.
AU - Kshetri, Nir
AU - Hughes, Laurie
AU - Slade, Emma Louise
AU - Jeyaraj, Anand
AU - Kar, Arpan Kumar
AU - Baabdullah, Abdullah M.
AU - Koohang, Alex
AU - Raghavan, Vishnupriya
AU - Ahuja, Manju
AU - Albanna, Hanaa
AU - Albashrawi, Mousa Ahmad
AU - Al-Busaidi, Adil S.
AU - Balakrishnan, Janarthanan
AU - Barlette, Yves
AU - Basu, Sriparna
AU - Bose, Indranil
AU - Brooks, Laurence
AU - Buhalis, Dimitrios
AU - Carter, Lemuria
AU - Chowdhury, Soumyadeb
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
AU - Malik, F. Tegwen
AU - Mardani, Abbas
AU - Mariani, Marcello
AU - Mithas, Sunil
AU - Mogaji, Emmanuel
AU - Nord, Jeretta Horn
AU - O'Connor, Siobhan
AU - Okumus, Fevzi
AU - Pagani, Margherita
AU - Pandey, Neeraj
AU - Papagiannidis, Savvas
AU - Pappas, Ilias O.
AU - Pathak, Nishith
AU - Pries-Heje, Jan
AU - Raman, Ramakrishnan
AU - Rana, Nripendra P.
AU - Rehm, Sven Volker
AU - Ribeiro-Navarrete, Samuel
AU - Richter, Alexander
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.
PY - 2023/8/1
Y1 - 2023/8/1
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.
KW - ChatGPT
KW - Conversational agent
KW - Generative AI
KW - Generative artificial intelligence
KW - Large language models
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UR - http://www.scopus.com/inward/citedby.url?scp=85149886538&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/5a8788d5-55e0-338d-956c-c760b69e1f8b/
U2 - 10.1016/j.ijinfomgt.2023.102642
DO - 10.1016/j.ijinfomgt.2023.102642
M3 - Article
AN - SCOPUS:85149886538
SN - 0268-4012
VL - 71
SP - 102642
JO - International Journal of Information Management
JF - International Journal of Information Management
M1 - 102642
ER -
