In order to improve its artificial intelligence algorithms, Google has revealed a more diverse range of skin tones.
The new Monk Skin Tone Scale comprises ten skin tones and is named after Harvard University professor Dr Ellis Monk.
Google claims that it will replace outmoded skin tone scales that favour paler skin tones.
According to the tech corporation, it will be used to improve goods such as search and images.
A lot of technology, including cameras that recognise a face to unlock a phone or when your images are automatically categorised, uses machine learning, which is a sort of AI.
However, in order to get to this point, researchers must train the technology to recognise a wide spectrum of people.
They do this by using a device known as a skin scale. The Fitzpatrick scale is one of the most widely used skin scales.
The Fitzpatrick Scale was first developed in 1975. Its primary purpose was to categorise how different skin types react to UV light. The skin was separated into six tones.
The Monk scale, which was released in early May, features ten skin tones that the business claims represent a wider range of people.
Google claims that the new scale will eventually be implemented across all of its products. If other developers chose to use it, the Monk scale might be used elsewhere as well.
In the hopes of someday replacing the most widely used skin tone scales, Google has made the Monk Skin Tone Scale classification system open source, allowing other firms to use it in the hopes of someday replacing
If technology isn’t created using a variety of data, it won’t work for everyone, regardless of skin tone. However, this isn’t only a technological issue.
There has recently been a realisation that many products don’t do a good job of depicting different skin tones.
Many brands had only one or extremely limited options for skin-coloured cosmetics in the past, and these were mainly targeted for white skin tones.
Crayons, plasters, and tights are just a few of the items that have recently become more inclusive.
Many people find it frustrating that these improvements have taken so long to occur.