27/05/2026
How do generative AI systems influence our understanding of race, culture, and identity? ๐ค๐
This infographic examines how racial and cultural stereotyping can emerge in generative AI outputs, including both image-generation systems and text-based models.
As generative AI becomes increasingly embedded in education, communication, and everyday digital life, the values and biases contained within training data can shape public perceptions and reinforce existing inequalities.
๐ The research explores:
โข demographic and cultural representation in AI outputs
โข algorithmic bias and cultural framing
โข differences between multilingual AI-generated content
โข ethical and societal implications of biased AI systems
๐ก It also highlights the importance of digital literacy, inclusive datasets, ethical education, and shared responsibility in building fair and human-centred AI technologies.
๐ Swipe through the infographic to explore the findings and recommendations.
Research by: Muni Kim