Building Trust and Accountability: What Journalists Can Learn from Critics and Engagement with the Public

Abstract

This article discusses the history and principles behind ChatGPT and potential ethical issues that could arise with its usage by academics and researchers. The authors placed their analysis in the broader context of AI advancements, machine learning, and natural language processing for research and scholarly publishing. They found the potential for bias in the training data and coding process the AI language models can be detrimental to science. The article discussed the ethical considerations with issues of copyright, citation practices