This article discusses how computational techniques can be used to reduce bias in AI technology. It examines how machine learning models are built from training datasets and how various computational techniques can be applied to improve the design of AI technology. It also looks at how creators of AI technology can be incentivized to be more responsible and how technology can always be improved by additional technology.
