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Volume 646 Issue 8087, 30 October 2025
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Volume 646 Issue 8087, 30 October 2025

Reality check

Our perceptions of the world are increasingly influenced by online media, which can perpetuate social stereotypes and bias our views. The rise of artificial intelligence — especially large language models that are trained on online content — has raised concerns that this distorting effect could be amplified further. In this week’s issue, Douglas Guilbeault and colleagues present evidence that such concerns are well founded. The researchers examined some 1.4 million images from five major online platforms to see how men and women were represented in a range of different occupations. They found that women were represented as younger than men across occupations and social roles despite there being no systematic differences in the real-world workforce. The team then prompted ChatGPT to create 40,000 résumés and found that it, too, represented women as younger than men. And when ChatGPT was asked to rate these résumés, it ranked the older male candidates as better quality than the younger female applicants. This underscores existing gendered stereotypes in which older men are seen as mature, authoritative and experienced whereas as women are valued for being young and attractive. It also suggests that, despite efforts to remove bias when they are trained, AI models retain such stereotypes and can continue to perpetuate them.

Cover image: Kelly Krause/Nature; adapted from Shutterstock/Master1305.

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