The limits to growth(ism) in ChatGPT—corpus assisted discourse studies in AI-generated texts

Abstract

The release of ChatGPT in 2022 has caused many concerns about the unpredictable consequences of popular AI usage in education, business, and other areas of human life. Some media have speculated about the adverse effects of AI on human communication, discourse, and even cognition, although the scholarly evidence to either confirm or dismiss such claims is very limited. In order to bridge this knowledge gap, the following article was designed as a corpus-assisted study of discourse in ChatGPT-generated texts, making it one of the first inquiries into AI discourse to date. The study analyzes the growthist bias in ChatGPT (4o version) and a possible methodology of reliable detection and measurement of bias in AI using corpus tools. Two differently composed corpora of the responses of ChatGPT in the semantic domain of the economy are studied quantitatively through the generation and statistical comparison of word frequency lists, keywords, and other measures. This procedure serves to objectify the qualitative analysis data, as well as to outline the size and range of bias. The results of the critical analysis of AI discourse and biases is treated as the crucial ground for any global discussion of AI impact on human discourse, as well as for the speculation on the ideological stance of the source information used for the initial training of the chatbot.

Ähnliche Arbeiten