AI-generated models in fashion: reshaping representation and labor through digital aesthetics
Original framing: “This model is not a real person: how AI is shaking up fashion – video” — The Guardian - Technology
AI-generated models rely on complex algorithms trained on vast datasets of human images. Scientific analysis reveals that these models can perpetuate biases present in their training data, reinforcing narrow beauty standards and excluding diverse body types.
The rise of AI-generated models in fashion is not just a technological shift but a systemic reconfiguration of labor, identity, and consumer culture.
While it offers new creative possibilities, it also risks deepening existing inequalities by displacing human labor and reinforcing narrow beauty standards. Indigenous and non-Western perspectives highlight the importance of cultural context and consent in digital representation. Historical parallels show that each technological shift in fashion has had profound social consequences, often at the expense of marginalized groups. To navigate this transition responsibly, fashion must adopt inclusive AI ethics, support digital literacy, and integrate diverse voices into the design process. Only then can AI serve as a tool for empowerment rather than exclusion.