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AuthorDwivedi, Yogesh K.
AuthorKshetri, Nir
AuthorHughes, Laurie
AuthorSlade, Emma Louise
AuthorJeyaraj, Anand
AuthorKar, Arpan Kumar
AuthorBaabdullah, Abdullah M.
AuthorKoohang, Alex
AuthorRaghavan, Vishnupriya
AuthorAhuja, Manju
AuthorAlbanna, Hanaa
AuthorAlbashrawi, Mousa Ahmad
AuthorAl-Busaidi, Adil S.
AuthorBalakrishnan, Janarthanan
AuthorBarlette, Yves
AuthorBasu, Sriparna
AuthorBose, Indranil
AuthorBrooks, Laurence
AuthorBuhalis, Dimitrios
AuthorCarter, Lemuria
AuthorChowdhury, Soumyadeb
AuthorCrick, Tom
AuthorCunningham, Scott W.
AuthorDavies, Gareth H.
AuthorDavison, Robert M.
AuthorDé, Rahul
AuthorDennehy, Denis
AuthorDuan, Yanqing
AuthorDubey, Rameshwar
AuthorDwivedi, Rohita
AuthorEdwards, John S.
AuthorFlavian, Carlos
AuthorGauld, Robin
AuthorGrover, Varun
AuthorHu, Mei-Chih
AuthorJanssen, Marijn
AuthorJones, Paul
AuthorJunglas, Iris
AuthorKhorana, Sangeeta
AuthorKraus, Sascha
AuthorLarsen, Kai R.
AuthorLatreille, Paul
AuthorLaumer, Sven
AuthorMalik, F. Tegwen
AuthorMardani, Abbas
AuthorMariani, Marcello
AuthorMithas, Sunil
AuthorMogaji, Emmanuel
AuthorNord, Jeretta Horn
AuthorO'Connor, Siobhan
AuthorOkumus, Fevzi
AuthorPagani, Margherita
AuthorPandey, Neeraj
AuthorPapagiannidis, Savvas
AuthorPappas, Ilias O.
AuthorPathak, Nishith
AuthorPries-Heje, Jan
AuthorRaman, Ramakrishnan
AuthorRana, Nripendra P.
AuthorRehm, Sven-Volker
AuthorRibeiro-Navarrete, Samuel
AuthorRichter, Alexander
AuthorRowe, Frantz
AuthorSarker, Suprateek
AuthorStahl, Bernd Carsten
AuthorTiwari, Manoj Kumar
Authorvan der Aalst, Wil
AuthorVenkatesh, Viswanath
AuthorViglia, Giampaolo
AuthorWade, Michael
AuthorWalton, Paul
AuthorWirtz, Jochen
AuthorWright, Ryan
Available date2023-05-16T09:07:33Z
Publication Date2023
Publication NameInternational Journal of Information Management
ResourceScopus
ISSN2684012
URIhttp://dx.doi.org/10.1016/j.ijinfomgt.2023.102642
URIhttp://hdl.handle.net/10576/42799
AbstractTransformative 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. 2023 The Authors
Languageen
PublisherElsevier
SubjectChatGPT
Conversational agent
Generative AI
Generative artificial intelligence
Large language models
Title"So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
TypeArticle
Volume Number71


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