Book Review | Inclusive Innovation in the Age of AI and Big Data
When Peter Yu and I began developing this volume, we wanted to bring together scholars working across law, economics, policy, data, and technology to consider how we might ensure that innovation expands opportunity rather than reinforcing existing divides.
The review notes the book’s effort to move beyond diagnosing disparities toward thinking concretely about institutions, incentives, governance, and the conditions needed for more inclusive innovation systems. Delighted to see the contributors’ collective work recognized.
The volume reflects the insights of an extraordinary group of scholars: Brent Lutes | Michael Palmedo | Ryan Safner | Michelle Saksena | Gauri Subramani | Carlotta Nani | Martin Correa Finsterbusch| Julio D. Raffo | Mike Schuster | Miriam Bitton | Deborah Gerhardt | Jessica Lai | Jordana Goodman | Yan Li | Regan Murphy | Khamal Patterson, Esq., | Margo Bagley | Colleen Chien | Suzanne Harrison | Bowman Heiden | Paola Cecchi-Dimeglio | Deja Workman | Christopher Dancy | Dave Hunter | Keith Robinson | Jyh-An Lee | Jingwen Liu |
My thanks to each of them, and to PETER DANIELL | Charlotte Kershaw at Oxford University Press for working with us to make the book a reality.
More on the review:
https://lnkd.in/gNWC36q3
https://lnkd.in/gFwm3kGn
The book is available open access through Oxford University Press:
https://lnkd.in/gNDKwx3q, with thanks to Penn State Institute for Computational and Data Sciences | Penn State Law, Policy and Engineering (LPE) Initiative | Penn State Dickinson Law | Jenni Evans | Danielle Conway | David Mazyck