Informing Fairness Metrics and Evaluation

Intersectionality pushes for fairness metrics that evaluate AI systems across multiple intersecting categories (e.g., Black women, disabled LGBTQ+ individuals) rather than aggregate groups, helping identify subtle biases and ensuring robust, context-sensitive performance.

Intersectionality pushes for fairness metrics that evaluate AI systems across multiple intersecting categories (e.g., Black women, disabled LGBTQ+ individuals) rather than aggregate groups, helping identify subtle biases and ensuring robust, context-sensitive performance.

Empowered by Artificial Intelligence and the women in tech community.
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