Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer

Frontiers in Big Data

Big Data

Casey Watters¹  Michal K. Lemanski² 

[1] Faculty of Law, Bond University, Gold Coast, QLD, Australia;Institute for Human Resource Management, WU Vienna, Vienna, Austria;

关键词: ChatGPT;    large language model (LLM);    transformer;    GPT;    disruptive technology;    artificial intelligence;    AI;   

DOI  :  10.3389/fdata.2023.1224976

 received in 2023-05-18, accepted in 2023-07-10,  发布年份 2023

来源: Frontiers

【 摘 要 】

ChatGPT, a new language model developed by OpenAI, has garnered significant attention in various fields since its release. This literature review provides an overview of early ChatGPT literature across multiple disciplines, exploring its applications, limitations, and ethical considerations. The review encompasses Scopus-indexed publications from November 2022 to April 2023 and includes 156 articles related to ChatGPT. The findings reveal a predominance of negative sentiment across disciplines, though subject-specific attitudes must be considered. The review highlights the implications of ChatGPT in many fields including healthcare, raising concerns about employment opportunities and ethical considerations. While ChatGPT holds promise for improved communication, further research is needed to address its capabilities and limitations. This literature review provides insights into early research on ChatGPT, informing future investigations and practical applications of chatbot technology, as well as development and usage of generative AI.

【 授权许可】

Unknown   
Copyright © 2023 Watters and Lemanski.