Google searches for new measure of skin tones to curb bias in products

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Alphabet Inc's Google told Reuters this week it is developing an alternative to the industry standard method for classifying skin tones, which a growing chorus of technology researchers and dermatologists says is inadequate for assessing whether ...

Ensuring technology works well for all skin colours, as well different ages and genders, is assuming greater importance as new products, often powered by artificial intelligence , extend into sensitive and regulated areas such as healthcare and law enforcement.

Critics say FST, which includes four categories for “white” skin and one apiece for “black” and “brown,” disregards diversity among people of colour. Researchers at the US Department of Homeland Security, during a federal, recommended abandoning FST for evaluating facial recognition because it poorly represents colour range in diverse populations.

“We are working on alternative, more inclusive, measures that could be useful in the development of our products, and will collaborate with scientific and medical experts, as well as groups working with communities of colour,” the company said, declining to offer details on the effort. Companies know their products can be faulty for groups that are underrepresented in research and testing data. The concern over FST is that its limited scale for darker skin could lead to technology that, for instance, works for golden brown skin but fails for espresso red tones.

 

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