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

Дискуссионная статья: «Ну и что, если это написал ChatGPT?» Междисциплинарные взгляды на возможности, проблемы и последствия применения генеративного разговорного искусственного интеллекта в исследованиях, практике и политике
Arpan Kumar Kar, Yogesh K. Dwivedi, Soumyadeb Chowdhury, Tegwen Malik, Nripendra P. Rana, Abdullah M. Baabdullah, Marijn Janssen, Savvas Papagiannidis, Yanqing Duan, John S. Edwards, Laurie Hughes, Tom Crick, Rohita Dwivedi, Paul Jones, Emmanuel Mogaji, Vishnupriya Raghavan, Ramakrishnan Raman, Paul Walton, Denis Dennehy, Bernd Carsten Stahl, Ilias O. Pappas, Nir Kshetri, Emma Slade, Anand Jeyaraj, Alex Koohang, 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, Scott W. Cunningham, Gareth H. Davies, Robert M. Davison, Rahul Dé, Rameshwar Dubey, Carlos Flavián, Robin Gauld, Varun Grover, Mei‐Chih Hu, Iris Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, Abbas Mardani, Marcello Mariani, Sunil Mithas, Jeretta Horn Nord, Siobhán O’Connor, Fevzi Okumus, Margherita Pagani, Neeraj Pandey, Nishith Pathak, Jan Pries‐Heje, Sven‐Volker Rehm, Samuel Ribeiro‐Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Manoj Tiwari, Wil van der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Jochen Wirtz, Ryan Wright, Rameshwar Dubey, Sascha Kraus, Viswanath Venkatesh
2023-03-11

AI governanceAI-generated textChatGPTgenerative AI ethicsgenerative conversational AI
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.
1
Contributors recognize ChatGPT’s productivity-enhancing capabilities and anticipate significant gains in banking, hospitality and tourism, information technology, management, and marketing.
2
Experts are divided over whether ChatGPT use should be restricted or regulated through legislation, reflecting unresolved governance questions.
3
The article defines research priorities concerning knowledge, transparency and ethics; organizational and societal digital transformation; and teaching, learning, and scholarly research.
4
The article synthesizes 43 multidisciplinary expert contributions on generative conversational AI’s opportunities, challenges, and implications across research, practice, and policy.
5
The contributions identify limitations and risks involving disrupted practices, privacy and security threats, bias, misuse, and misinformation.

Generative conversational AI systems exemplified by ChatGPT

The opportunities, limitations, impacts, and ethical, legal, and governance implications of using generative conversational AI

Publication Details
Publication Date
2023-03-11
Journal
Publisher
ISSN
Cited by
4311
Access Type
Author Information
Authors
Arpan Kumar Kar
Yogesh K. Dwivedi
Soumyadeb Chowdhury
Tegwen Malik
Nripendra P. Rana
Abdullah M. Baabdullah
Marijn Janssen
Savvas Papagiannidis
Yanqing Duan
John S. Edwards
Laurie Hughes
Tom Crick
Rohita Dwivedi
Paul Jones
Emmanuel Mogaji
Vishnupriya Raghavan
Ramakrishnan Raman
Paul Walton
Denis Dennehy
Bernd Carsten Stahl
Ilias O. Pappas
Nir Kshetri
Emma Slade
Anand Jeyaraj
Alex Koohang
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
Scott W. Cunningham
Gareth H. Davies
Robert M. Davison
Rahul Dé
Rameshwar Dubey
Carlos Flavián
Robin Gauld
Varun Grover
Mei‐Chih Hu
Iris Junglas
Sangeeta Khorana
Sascha Kraus
Kai R. Larsen
Paul Latreille
Sven Laumer
Abbas Mardani
Marcello Mariani
Sunil Mithas
Jeretta Horn Nord
Siobhán O’Connor
Fevzi Okumus
Margherita Pagani
Neeraj Pandey
Nishith Pathak
Jan Pries‐Heje
Sven‐Volker Rehm
Samuel Ribeiro‐Navarrete
Alexander Richter
Frantz Rowe
Suprateek Sarker
Manoj Tiwari
Wil van der Aalst
Viswanath Venkatesh
Giampaolo Viglia
Michael Wade
Jochen Wirtz
Ryan Wright
Rameshwar Dubey
Sascha Kraus
Viswanath Venkatesh
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%