keithcody

keithcody t1_j7idyma wrote

Reply to comment by DrXaos in Researchers tested a large sample of the prominent major AI technologies available today and found not only did they reproduce human biases in the recognition of facial age, but they exaggerated those biases by giuliomagnifico

Your description doesn’t really fit the findings.

Sample image used for training

https://www.ncbi.nlm.nih.gov/pmc/articles/instance/9800363/bin/41598_2022_27009_Fig1_HTML.jpg

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keithcody t1_j7ht0sc wrote

Reply to comment by hawkeye224 in Researchers tested a large sample of the prominent major AI technologies available today and found not only did they reproduce human biases in the recognition of facial age, but they exaggerated those biases by giuliomagnifico

It’s in the article if you want to read it

“In the study, AI overestimated the age of smiling faces even more than human observers and showed a sharper decrease in accuracy for faces of older adults compared to faces of younger age groups, for smiling compared to neutral faces, and for female compared to male faces. “These results suggest that estimates of age from faces are largely driven by visual cues, rather than high-level preconceptions,” said lead author Tzvi Ganel, Ben-Gurion, department of cognitive and brain sciences. “The pattern of errors and biases we observed could provide some insights for the design of more effective AI technology for age estimation from faces.

…

“AI tended to exaggerate the aging effect of smiling for the faces of young adults, incorrectly estimating their age by as much as two and a half years. Interestingly, whereas in human observers, the aging effect of smiling is missing for middle-aged adult female faces, it was present in the AI systems,” said Carmel Sofer, Ben-Gurion, department of cognitive and brain sciences.”

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