Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups

Understand

Automated gender classification has important applications in many domains, such as demographic research, law enforcement, online advertising, as well as human-computer interaction.

• Recent research has questioned the fairness of this technology across gender and race.
• Specifically, the majority of the studies raised the concern of higher error rates of the face-based gender classification system for darker-skinned people like African-American and for women.
• However, to date, the majority of existing studies were limited to African-American and Caucasian only.