Gender And Diversity Policy In Ai: Strategies, Metrics, And Case Studies

Gender And Diversity Policy In Ai: Strategies, Metrics, And Case Studies book cover

Gender And Diversity Policy In Ai: Strategies, Metrics, And Case Studies

Author(s): Arif Ahmed Sekh (Author), Dilip K Prasad (Author)

  • Publisher: WSPC
  • Publication Date: 19 Jun. 2025
  • Language: English
  • Print length: 302 pages
  • ISBN-10: 9819807239
  • ISBN-13: 9789819807239

Book Description

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.

View on Amazon

电子书代发PDF格式价格30我要求助
未经允许不得转载:Wow! eBook » Gender And Diversity Policy In Ai: Strategies, Metrics, And Case Studies