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.

翻译：迄今为止，关于如何将多样性与包容性考量嵌入具体人工智能系统及全球AI生态系统的具体实践建议仍较为匮乏。本章首先提出人工智能领域多样性与包容性的清晰定义，将其置于动态演进的完整生态系统框架中。基于该定义与概念框架，我们提出一套主要面向AI技术专家、数据科学家及项目负责人的实用指南。