Accurate estimates of chronological age can be accessed by AI simply via hand images and are as accurate as facial analyses, per a new publication from the team behind Haut.AI.
This methodology reportedly overcomes "potential biases that can arise from facial recognition systems due to factors like ethnicity and facial features," per Haut.AI.
According to the authors, the use of hand images for accurate age prediction "offers a viable alternative to traditional facial photo methods and promotes fairer AI solutions."
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The publication, in the journal Experimental Dermatology, is titled “Predicting human chronological age via AI analysis of dorsal hand versus facial images: A study in a cohort of Indian females."
The report details the use of AI models trained on hand images to match the accuracy of facial image chronological age estimates.
By using Indian individuals, the AI model reportedly demonstrated efficacy across a range of skin types, ensuring inclusivity.
The study also revealed key hand age markers including wrinkles, knuckles and bone prominence. Addressing the appearance of these three factors could potentially impact human-perceived aging as well, Haut.AI argues.
“Our research demonstrates that your age can be determined just as accurately from a picture of your hands as from your face,” said Anastasia Georgievskaya, the CEO of Haut.AI. “This not only opens doors for new applications of AI technology but also has the potential to mitigate biases often associated with conventional systems. This aligns perfectly with our commitment to developing fair and responsible AI solutions.”
