  To date, there has been little concrete practical advice about how to ensure
that diversity and inclusion considerations should be embedded within both
specific Artificial Intelligence (AI) systems and the larger global AI
ecosystem. In this chapter, we present a clear definition of diversity and
inclusion in AI, one which positions this concept within an evolving and
holistic ecosystem. We use this definition and conceptual framing to present a
set of practical guidelines primarily aimed at AI technologists, data
scientists and project leaders.
