ChatGPT and the Moralities of Large Language Modelling in Research Publications

ChatGPT and the Moralities of Large Language Modelling in Research Publications

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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2. A Brief Introduction To Underlying Ai Concepts

Artificial intelligence, machine learning, and natural language processing are rapidly advancing fields that are having a significant impact on a wide range of industries and applications (Wamba et al., 2021). Chatbots, which are computer programs designed to mimic human conversation, are one example of the practical uses of these technologies (Adamopoulou & Moussiades, 2020a). The following section provides a brief overview of artificial intelligence, machine learning, and natural language processing –as well as the ways in which chatbots are utilizing these technologies to interact with users in a more human-like manner – in order to ensure that all readers have a basically familiarity with the technology and concepts that underpin large language models like the Generative Pretrained Transformer and ChatGPT.

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