Inside the Monk Skin Tone Chart: a Visual Breakdown of All 10 Inclusive Shades
The legacy standard across clinical dermatology and consumer tech was the Fitzpatrick Phototyping Scale, created by Dr. Thomas Fitzpatrick nearly half a century ago. It was built for a single, narrow clinical purpose: evaluating how white skin responded to ultraviolet radiation during oral methoxsalen photochemotherapy trials. Fitzpatrick originally recognized four pale skin types, only later tacking on types V and VI to represent all brown and Black populations worldwide.
That six-tier categorization caused deep technical distortions when Silicon Valley adopted it as a proxy for visual classification. Types I through IV parsed fractional variations among fair European skin, while billions of people across Africa, South Asia, Latin America, and Indigenous communities were compressed into just two vague buckets. Automated camera sensors calibrated on Fitzpatrick datasets consistently overexposed or underexposed darker faces because algorithms lacked granular reference data.
This technical shortfall sustained systemic colorism in digital media. Facial recognition systems failed disproportionately on darker-skinned subjects, video conferencing platforms struggled to balance lighting in mixed-race settings, and photo editing filters routinely brightened darker subjects to match Eurocentric training targets. Treating human complexion as an afterthought created an engineering deficit that required a clean break from legacy dermatology.