This is what companies can do to build more inclusive AI

Data diversity: Data diversity refers to how wide of a net is cast by your dataset. Does it cover all of your potential use cases, including those that may be less common? Does it represent all of your end users and how they may interact with your model? Lack of coverage is one of the top reasons why companies fail in their endeavours to build more inclusive AI. It's this step that requires some of the most careful consideration in the AI life cycle.