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.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.