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Fitzpatrick Scale

Definition

A skin-tone classification system originally developed by dermatologist Thomas B. Fitzpatrick in 1975 (initially covering four types for UV response in phototherapy), expanded to the current six-category scale in 1988. Used in Gender Shades and subsequent studies as a proxy for skin tone in the absence of self-identified racial categorisation data.

Originator
Dermatologist Thomas B. Fitzpatrick
Original year
1975, four types
Current form
Six-category scale from 1988
Original purpose
UV response classification for phototherapy
Forensic reuse
Skin-tone proxy in face and fingerprint bias studies such as Gender Shades

Common questions

Why is the Fitzpatrick scale considered an imperfect proxy for demographic fairness testing?+

It was designed to classify skin response to UV exposure for dermatology, not to represent racial or ethnic identity. Studies reuse it because self-identified race data is often unavailable, but the scale can group people of different backgrounds into the same category or split similar skin tones across categories.

How is the Fitzpatrick scale applied in studies like Gender Shades?+

Researchers annotate face images by Fitzpatrick category and compare a biometric system's error rate across those categories, using the pattern of higher errors on darker skin types as evidence of disparate performance even without direct race labels.

Related terms

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Daubert Standard
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Disparate Impact
A legal and statistical concept describing a policy or practice that has a disproportionate adverse effect on a protected group, regardless of...
EU AI Act Art 10 (Training Data Requirements)
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False-Positive Rate (FMR)
In biometric verification: the probability that a comparison of images of two different individuals is incorrectly declared a match. In forensic identification,...
Gender Shades (2018)
Study by Joy Buolamwini and Timnit Gebru published at FAccT 2018 that measured accuracy disparities in three commercial face-recognition APIs across intersectional...
NIST FRVT (Face Recognition Vendor Test)
Ongoing NIST evaluation of commercial face-recognition algorithms, with the 2019 Demographic Effects report covering 189 algorithms from 99 developers; confirms Gender Shades...
Robert Williams Case (2020)
First publicly documented wrongful arrest in the US attributed to a face-recognition false positive: Detroit police arrested Robert Williams, a Black man,...

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