Abstract
Racial and gender biases have long been the subject of criticism within dominant narratives. With the growing influence of ChatGPT and other similar technologies on narrative, it is imperative to investigate and mitigate any biases or discrimination embedded in these platforms. Fostering narratives that authentically reflect the different experiences and identities of all people requires taking this crucial step to promote more inclusive and equitable stories. The purpose of this research study was to investigate racial and gender biases in ChatGPT’s fictional stories. A qualitative research methodology was pursued with sixteen stories analysed and compared for racial and gender identity parallels. Eight stories were from the Global South and eight from the Global North, comparing major cities Johannesburg to London and Eastern Cape’s rural Bhisho to rural Cornwall, UK. Findings from this research study highlighted that the Black middle class in South Africa is frequently misrepresented. Additionally, these narratives perpetuate notions of a wealthier North and a poorer South by exaggerating the relationship between race and economic freedom. Moreover, the stories' tone reveals a hegemonic, Eurocentric viewpoint that ignores the subtleties of African reality.