Gender and Diversity Policy in Ai: Strategies, Metrics, and Case Studies

This unique compendium explores the crucial role of inclusivity in the development, deployment, and governance of artificial intelligence systems. It addresses the growing ethical and social concerns surrounding the lack of representation in AI, emphasizing how gender and diversity are integral to creating fair, responsible, and innovative technologies.

The book delves into the ethical, social, and economic benefits of promoting diversity in AI teams and research. Covering a wide range of topics, from data biases to global policy frameworks, and through case studies and real-world examples, it illustrates both the successes and challenges in achieving gender and diversity in the field.

This useful reference text is designed for academics, AI professionals, policymakers, and corporate leaders of machine learning and AI, and innovation and technology.