AI EthicsPapers

Klein and D'Ignazio apply the principles of Data Feminism to AI, calling for AI practice grounded in power analysis, intersectionality, co-design, situated knowledge, and refusal of harm.

A groundbreaking 2018 FAccT study revealing severe bias in commercial facial recognition systems against darker-skinned women, with error rates up to 34.7% compared to just 0.8% for lighter-skinned males.