MAD STARSCitizens' Award
INNOVATIONChina

TONE PROUD

내 피부톤으로 다시 쓰는 AI의 기준

AdvertiserTECNO MOBILE LIMITED
AgencyMcCANN CHINA

Film

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Campaign board

TONE PROUD — Campaign board

The translation and summary on this page were generated with AI. Some wording and proper nouns may be rendered imprecisely.

About the campaign

AI and imaging technology still can't accurately recognize every skin tone, sometimes rendering people brighter or duller than they actually are. TECNO's '#ToneProud' had people around the world register their own skin tone to help build a larger, more diverse skin tone database together. It especially broadened representation for Asia, the Middle East, and Africa, and made the collected data usable for other AI technologies — turning consumers from mere participants into data producers helping set the very standard AI is built on.

AI summary

AI and imaging technology still fail to accurately recognize every skin tone. TECNO's #ToneProud had people around the world register their own skin tone to build a larger, more diverse database together — particularly broadening representation for Asia, the Middle East, and Africa.

Cultural context

Bias in how AI recognizes race and skin tone is a globally discussed issue in tech ethics, and this campaign made consumers part of the solution by turning them directly into data contributors.