Human-Centered AI: A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users

Artificial intelligence (AI) permeates our lives in a growing number of ways. Relying solely on traditional, technology-driven approaches won't suffice to develop and deploy that technology in a way that truly enhances human experience. A new concept is desperately needed to reach that goal. That concept is Human-Centered AI (HCAI).

With 29 captivating chapters, this book delves deep into the realm of HCAI. In Section I, it demystifies HCAI, exploring cutting-edge trends and approaches in its study, including the moral landscape of Large Language Models. Section II looks at how HCAI is viewed in different institutions―like the justice system, health system, and higher education―and how it could affect them. It examines how crafting HCAI could lead to better work. Section III offers practical insights and successful strategies to transform HCAI from theory to reality, for example, studying how using regulatory sandboxes could ensure the development of age-appropriate AI for kids. Finally, decision-makers and practitioners provide invaluable perspectives throughout the book, showcasing the real-world significance of its articles beyond academia.

Authored by experts from a variety of backgrounds, sectors, disciplines, and countries, this engaging book offers a fascinating exploration of Human-Centered AI. Whether you're new to the subject or not, a decision-maker, a practitioner or simply an AI user, this book will help you gain a better understanding of HCAI's impact on our societies, and of why and how AI should really be developed and deployed in a human-centered future.

Catherine Régis is a specialist in health law and innovation law at Université de Montréal. Most of her work explores how to best regulate AI at the national at the international level. She holds a Canada Research Chair in Health Law and Policy and a Canada-CIFAR Chair in Artificial Intelligence. She has co-chaired (2021-2023) the Responsible AI Working Group of the Global Partnership on AI and is an associate academic member at MILA, the world’s largest academic research center in machine learning.

Jean-Louis Denis is professor of health policy and management at the School of Public Health of Université de Montréal and a senior scientist the Research Center of Québec’s largest hospital, CHUM. He holds the Canada Research Chair on Health System Design and Adaptation. He cochairs, with Catherine Régis, the HAICU Lab on human-centered AI of the U7+ Alliance of Global Universities.

Maria Luciana Axente is an award-winning AI ethics and public policy expert, a member of various Advisory Boards and an Intellectual Forum Senior Research Associate at the University of Cambridge, researching human-centric AI at the intersection between tech policy and ethics in the industry.

Atsuo Kishimoto is Professor at the Institute for Datability Science and Director of the Research Center on Ethical, Legal and Social Issues at the Osaka University. He is originally an economist by training and has worked for the National Institute of Advanced Industrial Science and Technology (AIST) as a risk assessor.