"This kind of age-related gender bias has been seen in other studies of specific industries, and anecdotally . . . but no one has previously been able to examine this at such scale,"
"Even though the internet is wrong, when it tells us this 'fact' about the world, we start believing it to be true,"
"It brings us deeper into bias and error."
An analysis of 1.4 million online images and videos and outputs from nine large language models shows women are portrayed as younger than men across 3,495 occupational and social categories. Content from Google, Wikipedia, IMDb, Flickr, YouTube and models including GPT-2 exhibited this age-related gender distortion. The portrayal gap is strongest for occupations associated with higher status and earnings. Visual factors such as video filters and makeup may contribute to the younger appearance of women. Googling occupation images amplified age-related gender bias in participants' beliefs and hiring preferences. ChatGPT evaluations assumed women were 1.6 years younger, attributed them less experience, and rated older male applicants as more qualified despite no systematic workforce age differences.
Read at Fast Company
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