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What's happening
Google has adopted a more diverse skin tone scale to reshape its artificial intelligence systems.
Why it matters
The new 10-shade scale could reduce racial bias and improve skin tone representation across Google's popular services.
In mid-May, Google announced a partnership with Ellis Monk, an associate professor at Harvard, unveiling a more inclusive skin tone scale to better train Google's artificial intelligence systems and improve racial and color representation in its products.
Using the more diverse 10-shade scale is designed to allow Google's services to better see and understand images that feature people with darker skin tones. It's a response to problems in the system that Google and other companies have used to classify skin tones for people of color.
Read more: Google Adopts 10-Step Skin Tone Scale So Its AI Will Understand Diversity
You can see one example of this AI technology at work in the US -- the option to refine makeup-related queries by skin tone within Google search. Separately, the company also added filters tailored to darker skin in Google Photos. And that's just the start.
As Google broadens its use of the Monk Skin Tone Scale to new services and other parts of the world, there's a lot to learn about Google. Here's what you need to know about how it's trying to improve skin tone representation and how Google got there.
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