This research was conducted to examine artificial intelligence’s perceptions of STEM professionals and STEM teachers. The research employed a document analysis review method. Images created by ChatGPT’s DALL-E integration were used for the study. The images generated in response to prompts such as “draw a scientist” written to ChatGPT were evaluated and interpreted. Separate visuals were obtained for each STEM profession. The scientist was portrayed as a person working in a laboratory, the technologist as a person working on artificial intelligence in virtual reality style, the engineer as a person designing with technical equipment, and the mathematician as a person dealing with writing formulas. When asked to draw a STEM professional, it revealed a perception that emphasized the field of science in a technological laboratory. The most striking finding is that while it drew all STEM professionals in male gender, it drew the STEM teacher in female gender. Comparisons were made with the results of studies in which people’s perceptions of STEM professionals were determined through drawings. ChatGPT has been found to be within the stereotypical images and gender biases seen in people regarding STEM professions. This research includes assessments and recommendations on stereotypical biases regarding artificial intelligence and how these biases can be reduced.
Filiz Gülhan (Sun,) studied this question.