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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
International Journal of Information Management, Volume: 71, Start page: 102642
Swansea University Authors: Tegwen Malik , Yogesh Dwivedi, David Hughes, Tom Crick , Denis Dennehy
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DOI (Published version): 10.1016/j.ijinfomgt.2023.102642
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...
Published in: | International Journal of Information Management |
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ISSN: | 0268-4012 |
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Elsevier BV
2023
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62927 |
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<?xml version="1.0"?><rfc1807><datestamp>2024-10-18T15:33:55.5699988</datestamp><bib-version>v2</bib-version><id>62927</id><entry>2023-03-13</entry><title>“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy</title><swanseaauthors><author><sid>d7e74f3c3979dff2baba1a16fe50e24a</sid><ORCID>0000-0003-4315-5726</ORCID><firstname>Tegwen</firstname><surname>Malik</surname><name>Tegwen Malik</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d154596e71b99ad1285563c8fdd373d7</sid><firstname>Yogesh</firstname><surname>Dwivedi</surname><name>Yogesh Dwivedi</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>7abaa0ecff88cdfd7a208d27a8b62173</sid><firstname>David</firstname><surname>Hughes</surname><name>David Hughes</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>200c66ef0fc55391f736f6e926fb4b99</sid><ORCID>0000-0001-5196-9389</ORCID><firstname>Tom</firstname><surname>Crick</surname><name>Tom Crick</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>ba782cbe94139075e5418dc9274e8304</sid><ORCID>0000-0001-9931-762X</ORCID><firstname>Denis</firstname><surname>Dennehy</surname><name>Denis Dennehy</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-03-13</date><deptcode>CBAE</deptcode><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. 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2024-10-18T15:33:55.5699988 v2 62927 2023-03-13 “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy d7e74f3c3979dff2baba1a16fe50e24a 0000-0003-4315-5726 Tegwen Malik Tegwen Malik true false d154596e71b99ad1285563c8fdd373d7 Yogesh Dwivedi Yogesh Dwivedi true false 7abaa0ecff88cdfd7a208d27a8b62173 David Hughes David Hughes true false 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 2023-03-13 CBAE 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. Journal Article International Journal of Information Management 71 102642 Elsevier BV 0268-4012 Conversational agent, Generative artificial intelligence, Generative AIChat, GPT, Large language models 1 8 2023 2023-08-01 10.1016/j.ijinfomgt.2023.102642 http://dx.doi.org/10.1016/j.ijinfomgt.2023.102642 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) 2024-10-18T15:33:55.5699988 2023-03-13T14:50:21.2849283 Faculty of Humanities and Social Sciences School of Management - Business Management Tegwen Malik 0000-0003-4315-5726 1 Yogesh Dwivedi 2 Nir Kshetri 3 David Hughes 4 Emma Louise Slade 5 Anand Jeyaraj 6 Arpan Kumar Kar 7 Abdullah M. Baabdullah 8 Alex Koohang 9 Vishnupriya Raghavan 10 Manju Ahuja 11 Hanaa Albanna 12 Mousa Ahmad Albashrawi 13 Adil S. Al-Busaidi 14 Janarthanan Balakrishnan 15 Yves Barlette 16 Sriparna Basu 17 Indranil Bose 18 Laurence Brooks 19 Dimitrios Buhalis 20 Lemuria Carter 21 Soumyadeb Chowdhury 22 Tom Crick 0000-0001-5196-9389 23 Scott W. Cunningham 24 Gareth H. Davies 25 Robert M. Davison 26 Rahul Dé 27 Denis Dennehy 0000-0001-9931-762X 28 Yanqing Duan 29 Rameshwar Dubey 30 Rohita Dwivedi 31 John S. Edwards 32 Carlos Flavián 33 Robin Gauld 34 Varun Grover 35 Mei-Chih Hu 36 Marijn Janssen 37 Paul Jones 38 Iris Junglas 39 Sangeeta Khorana 40 Sascha Kraus 41 Kai R. Larsen 42 Paul Latreille 43 Sven Laumer 44 F. Tegwen Malik 45 Abbas Mardani 46 Marcello Mariani 47 Sunil Mithas 48 Emmanuel Mogaji 49 Jeretta Horn Nord 50 Siobhan O’Connor 51 Fevzi Okumus 52 Margherita Pagani 53 Neeraj Pandey 54 Savvas Papagiannidis 55 Ilias O. Pappas 56 Nishith Pathak 57 Jan Pries-Heje 58 Ramakrishnan Raman 59 Nripendra P. Rana 60 Sven-Volker Rehm 61 Samuel Ribeiro-Navarrete 62 Alexander Richter 63 Frantz Rowe 64 Suprateek Sarker 65 Bernd Carsten Stahl 66 Manoj Kumar Tiwari 67 Wil van der Aalst 68 Viswanath Venkatesh 69 Giampaolo Viglia 70 Michael Wade 71 Paul Walton 72 Jochen Wirtz 73 Ryan Wright 74 62927__26940__00481c075ce44607af22b5fa9ac1512c.pdf 62927.VOR.pdf 2023-03-27T15:57:22.9205721 Output 7771367 application/pdf Version of Record true This is an open access article under the CC BY-NC-ND license. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
spellingShingle |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy Tegwen Malik Yogesh Dwivedi David Hughes Tom Crick Denis Dennehy |
title_short |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
title_full |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
title_fullStr |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
title_full_unstemmed |
“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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“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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Tegwen Malik Yogesh Dwivedi David Hughes Tom Crick Denis Dennehy |
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Tegwen Malik Yogesh Dwivedi Nir Kshetri David 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 |
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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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2023-08-01T20:29:30Z |
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