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

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    1-s2.0-S0268401223000233-main.pdf (7.411Mb)
    Date
    2023
    Author
    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.
    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
    Nord, Jeretta Horn
    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
    Tiwari, Manoj Kumar
    van der Aalst, Wil
    Venkatesh, Viswanath
    Viglia, Giampaolo
    Wade, Michael
    Walton, Paul
    Wirtz, Jochen
    Wright, Ryan
    ...show more authors ...show less authors
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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. 2023 The Authors
    DOI/handle
    http://dx.doi.org/10.1016/j.ijinfomgt.2023.102642
    http://hdl.handle.net/10576/42799
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