Javascript must be enabled to continue!
Ethical considerations in working with ChatGPT on a questionnaire about the future of work with ChatGPT
View through CrossRef
Abstract
The prospect of the use of Large Language Models, like ChatGPT, in work environments raises important questions regarding both the potential for a dramatic change in the quality of jobs and the risk of unemployment. The answers to these questions, but, also, the posing of questions to be answered, may involve the use of ChatGPT. This, in turn, may give rise to a series of ethical considerations. The article seeks to identify such considerations by presenting a research on a questionnaire that was developed by means of ChatGPT before it was answered, first, by a group of humans (H) and, then, through the use of a machine (M), ChatGPT. The language model was actually used to respond to the questionnaire twice. First, based on its data (M1), and, second, based on it being asked to imitate a human (M2). Based on the significant differences between the H and M answers, and, further, on the noticeable differences occurring within the M answers (the differences between the M1 and M2 answers), the article concludes by registering a cluster of three ethical considerations.
Springer Science and Business Media LLC
Title: Ethical considerations in working with ChatGPT on a questionnaire about the future of work with ChatGPT
Description:
Abstract
The prospect of the use of Large Language Models, like ChatGPT, in work environments raises important questions regarding both the potential for a dramatic change in the quality of jobs and the risk of unemployment.
The answers to these questions, but, also, the posing of questions to be answered, may involve the use of ChatGPT.
This, in turn, may give rise to a series of ethical considerations.
The article seeks to identify such considerations by presenting a research on a questionnaire that was developed by means of ChatGPT before it was answered, first, by a group of humans (H) and, then, through the use of a machine (M), ChatGPT.
The language model was actually used to respond to the questionnaire twice.
First, based on its data (M1), and, second, based on it being asked to imitate a human (M2).
Based on the significant differences between the H and M answers, and, further, on the noticeable differences occurring within the M answers (the differences between the M1 and M2 answers), the article concludes by registering a cluster of three ethical considerations.
Related Results
Exploring Large Language Models Integration in the Histopathologic Diagnosis of Skin Diseases: A Comparative Study
Exploring Large Language Models Integration in the Histopathologic Diagnosis of Skin Diseases: A Comparative Study
Abstract
Introduction
The exact manner in which large language models (LLMs) will be integrated into pathology is not yet fully comprehended. This study examines the accuracy, bene...
Assessment of Chat-GPT, Gemini, and Perplexity in Principle of Research Publication: A Comparative Study
Assessment of Chat-GPT, Gemini, and Perplexity in Principle of Research Publication: A Comparative Study
Abstract
Introduction
Many researchers utilize artificial intelligence (AI) to aid their research endeavors. This study seeks to assess and contrast the performance of three sophis...
Materialism and Environmental Knowledge as a Mediator for Relationships between Religiosity and Ethical Consumption
Materialism and Environmental Knowledge as a Mediator for Relationships between Religiosity and Ethical Consumption
ABSTRACTOn a global and regional scale, Indonesia has one of the least environmentally sustainable economies in the Asia-Pacific region. Consumption is one of the key factors contr...
Appearance of ChatGPT and English Study
Appearance of ChatGPT and English Study
The purpose of this study is to examine the definition and characteristics of ChatGPT in order to present the direction of self-directed learning to learners, and to explore the po...
User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study (Preprint)
User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study (Preprint)
BACKGROUND
With the rapid advancement of artificial intelligence (AI) technologies, AI-powered chatbots, such as Chat Generative Pretrained Transformer (Cha...
Exploring Teacher Attitudes Towards ChatGPT: A comprehensive Review
Exploring Teacher Attitudes Towards ChatGPT: A comprehensive Review
This article explores teachers' attitudes towards ChatGPT, a language model created by OpenAI, and its potential implications for education. ChatGPT employs sophisticated machine l...
The Future Impact of ChatGPT on Several Business Sectors
The Future Impact of ChatGPT on Several Business Sectors
ChatGPT and other generative AI models are leading the technological revolution. The Future impact of ChatGPT on several business sectors documents the profound impact ChatGPT and ...
ANALISIS PEMANFAATAN CHATGPT DALAM PEMBELAJARAN SEJARAH OLEH MAHASISWA PROGAM STUDI PENDIDIKAN SEJARAH UNIVERSITAS JAMBI
ANALISIS PEMANFAATAN CHATGPT DALAM PEMBELAJARAN SEJARAH OLEH MAHASISWA PROGAM STUDI PENDIDIKAN SEJARAH UNIVERSITAS JAMBI
Abstract: Various technological advances in the education make it easier for students to get various reference sources to help with the learning process. This research aims to anal...

