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ChatGPT and the Moralities of Large Language Modelling in Research Publications
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Author(s): Sarabjeet Singh Sethi (Swami Keshvanand Institute of Technology, Management, and Gramothan, Jaipur, India), Priyanka Sharma (Swami Keshvanand Institute of Technology, Management, and Gramothan, Jaipur, India)and A. V. Senthil Kumar (Hindusthan College of Arts and Science, Coimbatore, India)
Copyright: 2024
Pages: 26
Source title:
Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement
Source Author(s)/Editor(s): Rohit Bansal (Department of Management Studies, Vaish College of Engineering, Rohtak, India), Abdul Hafaz Ngah (Faculty of Business Economics and Social DevelopmentUniversiti Malaysia Terenganu, Malaysia), Aziza Chakir (FSJES AC, Hassan II University, Casablanca, Morocco)and Nishita Pruthi (Maharshi Dayanand University, India)
DOI: 10.4018/979-8-3693-0815-8.ch014
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Abstract
This chapter discusses OpenAI's ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a “chatbot”). The history and principles behind ChatGPT and similar models are discussed. This technology is then discussed in relation to its potential impact on academia and scholarly research and publishing. ChatGPT is seen as a potential model for the automated preparation of essays and other types of scholarly manuscripts. Potential ethical issues that could arise with the emergence of large language models like GPT-3, the underlying technology behind ChatGPT, and its usage by academics and researchers, are discussed and situated within the context of broader advancements in artificial intelligence, machine learning, and natural language processing for research and scholarly publishing.
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