Overview

Integrating diversity and inclusion principles and practices throughout the lifecycle of AI has an important role in achieving equity for all stakeholders. In particular, the integration of diversity and inclusion principles and practices through the engagement of diverse stakeholders is important. The composition of different levels of stakeholder cohorts should maintain diversity along social lines (race, gender identification, age, ability, and viewpoints) where bias is a concern. End-users, AI practitioners, subject matter experts, and interdisciplinary professionals including those from the law, social sciences and community development should be involved to identify downstream impacts comprehensively.