Recognizing Cultural Bias in AI

GSB 117

Our actions and choices as humans are largely influenced by the culture around us—things like race, language, accessibility, and sense of equality. As we offload decisions to algorithms and machine learning, those choices become less and less visible, leaving us to wonder—can algorithms really understand sensitivities like humans do?

In this talk, Camille walks through some examples of services we all use and how they have adapted machine learning to become more inclusive. She explores what we can do to create culturally sensitive computer intelligence and why that is important for the future of both AI and human beings.