How can AI support diversity, equity and inclusion?

Diversity: required throughout the entire AI lifecycle, from ideation, design, and development to deployment and post-launch monitoring. Appen's Chief Executive Officer Mark Brayan wrote for the World Economic Forum that "creating AI that's inclusive requires a full shift in mindset throughout the entirety of the development process." Being open about what is being designed, and most importantly, for whom and its impacts is necessary for any new technology. Education: teaching and equipping underrepresented communities with the tools and skills to understand (and work) in the AI space. Dr. Brandeis Marshall, Founder of DataEdX, Stanford PACS Practitioner Fellow, and Partner Research Fellow at Siegel Family Endowment, shared in a community conversation that reaching BIPOC communities requires representation: "If you don't see it, you won't be it – and that is so vital in order to bring more people into this discipline."