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, Inclusive Innovation in the Age of AI and Big Data underscores the tremendous impact gender, race, and other socioeconomic factors have on innovation and intellectual property ecosystems. This volume also explores structural barriers in these 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. In an era marked by rapid technological change, extraordinary opportunities, and deepening inequality, this volume offers carefully designed reform strategies and policy recommendations to make innovation and intellectual property ecosystems more equitable, effective, and socially responsive. This is an open access title available under the terms of a CC BY-NC-ND 4.0 International license. It is free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations.
