Inclusive AI

Supporting inclusion in AI models and systems is a process that requires careful planning, robust design practices, and continuous monitoring. By prioritizing fairness, representation, and transparency, AI can better serve diverse populations and promote equitable outcomes for all. We will explore what inclusion entails, why it is important, how it can support inclusion (or fail it, and why), and suggest actions needed to ensure AI is inclusive of all.