"Aura's State of Youth Report, released in December, found that parents believe technology has a more negative effect on girls' emotions, including stress, jealousy, and loneliness-51% compared with 36% for boys. That's unacceptable, and we need to do better."
"AI models that are trained predominantly on male health data produce worse outcomes for women. For instance, an AI model designed to detect liver disease from blood tests missed 44% of cases in women, compared with 23% in men."
"A study published by the University of Washington found that in AI resume screenings, the technology favored female-associated names in only 11% of cases. These failures reflect who is building our technology. Women make up just 22% of the AI workforce."
Artificial intelligence poses significant dangers to women and girls across multiple domains. AI chatbots negatively impact girls' mental health, with 51% of parents reporting technology causes more emotional stress in girls compared to 36% in boys. Healthcare AI trained predominantly on male data produces worse outcomes for women, such as missing 44% of liver disease cases in women versus 23% in men. AI-powered hiring tools demonstrate bias, favoring female-associated names in only 11% of resume screenings. These failures stem from women comprising just 22% of the AI workforce, resulting in systems designed without women's perspectives that replicate existing inequities and introduce new risks.
#ai-bias-and-discrimination #womens-safety-and-mental-health #healthcare-ai-disparities #workplace-ai-discrimination #ai-workforce-diversity
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