"As artificial intelligence and big data analytics reshape economies and societies, the promise of innovation is increasingly shadowed by concerns over inclusion, equity, and global justice. This accessible, interdisciplinary volume brings together established and emerging voices from across the world to critically examine issues lying at the intersection of innovation, intellectual property, and inequality in the age of artificial intelligence and big data. Featuring empirical studies, legal analyses, policy critiques, interdisciplinary perspectives, and global insights, the book underscores the tremendous impact gender, race, and other socioeconomic factors have on innovation and intellectual property ecosystems. To help realize the social promise and full potential of these ecosystems, the volumes chapters offer carefully designed reform strategies and policy recommendations, including those on law and policy, the redesign of organizations and governance frameworks, and technological interventions. This book aims to provide a practical roadmap for ensuring that innovation and intellectual property ecosystems will be not only more equitable and participatory but also more effective, resilient, and responsive to social needs. Contributors come from diverse academic backgrounds, including communication, critical race theory, data science, economics, innovation policy, international relations, law, science and technology studies, sociology, and statistics. Their chapters cover the impact of socioeconomic factors on authorship and inventorship, structural barriers in innovation and intellectual property ecosystems, diversity initiatives in the patent area, metrics for measuring inclusivity and diversity in innovation, changes brought about by artificial intelligence and big data, and the evolution of the global innovation and intellectual property systems"-- Provided by publisher.