Application of artificial intelligence AI for text and picture creation on the topic of “sustainability in the clothing industry”

Rebecca Schramm; Boris Mahltig

doi:10.25367/cdatp.2026.7.p3-12

Authors

Rebecca Schramm Hochschule Niederrhein, University of Applied Sciences, Faculty of Textile Clothing Technology, Mönchengladbach, Germany
Boris Mahltig Hochschule Niederrhein, University of Applied Sciences, Faculty of Textile Clothing Technology, Mönchengladbach, Germany https://orcid.org/0000-0002-2240-5581

DOI:

https://doi.org/10.25367/cdatp.2026.7.p3-12

Keywords:

Artificial intelligence, AI, AI tool, sustainability, clothing industry, text creation, picture creation, image creation, translation, AI tool

Abstract

Artificial intelligence (AI) offers tools for text generation, text compression, literature search, image creation and translation. The current paper presents the application of three different AI tools (ChatGPT, Gemini and Claude) on these five areas in relation to the actually prominent topic “sustainability in the clothing industry”. These AI tools are used in their non-cost (free function) version. The main focus is the text creation with the aim to realize an essay which can be useful as a study work in a bachelor program. Even if there are differences in style and length of the essay created by the different AI tools, the quality is adequate with reasonable language and no typing errors. The lengths of the created texts are in the range of 366 to 1097 words. By text compression, a compression rate in the range of 41 to 83% is done. The results for translation can be described as good with no typing errors. In contrast, AI created images contain several significant language and typing errors. As drawback a bias in selection of sources and literature references by AI might be seen, which are quite often governmental or NGO owned webpages. For that reason, certain opinions might be more pronounced in the AI created texts. Considering this dominance of a certain type of sources, a careful check of AI created content might be useful and recommended. Finally, the presented paper is a case study for applying AI tools in academic writing and can support the evaluation of text creating for teaching purposes.

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