1st Edition

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

    358 Pages 24 B/W Illustrations
    by Chapman & Hall

    358 Pages 24 B/W Illustrations
    by Chapman & Hall

    358 Pages 24 B/W Illustrations
    by Chapman & Hall

    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.


    Yoshua Bengio


    Atsuo Kishimoto, Catherine Régis, Jean-Louis Denis, Maria Axente

    Section I: Meanings, Trends and Approaches in the Study of HCAI

    1. Defining Human-Centered AI: An Interview with Shannon Vallor

    Shannon Vallor

    2. Toward Addressing Inequality and Social Exclusion by Algorithms: Human-Centric AI Through the Lens of Ubuntu

    Malwina Anna Wójcik

    3. Redefining Human-Centered AI:  The Human Impact of AI-Based Recommendation Engines

    Oshri Bar-Gil

    4. Ethics at the Intersection: Human-Centered AI & User Experience Design

    Christopher D. Quintana

    5. Human-Centered Artificial Intelligence (HCAI): From Conceptual Examination to Legislative Action

    Pierre Larouche

    6. Privacy in the Future Era of AI

    Matt Malone

    7. The Moral Landscape of General-Purpose Large Language Models

    Giada Pistilli

    8. Anand Rao’s Commentary

    Anand Rao

    9. Benjamin Prud’homme’s Commentary

    Benjamin Prud’homme


    Section II: Sectoral Representations of HCAI

    10. Implementing Good Governance Strategies for Human-Centered AI in Healthcare: Connecting Norms and Context

    Michael Da Silva, Jean-Louis Denis, and Catherine Régis

    11. Human-Centered AI for Sustainability and Agriculture

    Jennifer Garard, Allison Cohen, Ernest Habanabakize, Erin Gleeson, Mélisande Teng, Gaétan Marceau Caron, Daoud Piracha, Rosette Lukonge Savanna, Kinsie Rayburn, Melissa Rosa, Kaspar Kundert, and Éliane Ubalijoro

    12. Crafting Human-Centered AI in Workspaces for Better Work

    Christian Lévesque, Cassandra Bowkett, Julie (M.É.) Garneau, and Sara Pérez-Lauzon

    13. AI and Judiciary Decisions

    Takehiro Ohya

    14. Artificial Intelligence in Higher Education: Opportunities, Issues, and Challenges

    Bruno Poellhuber, Normand Roy, and Alexandre Lepage

    15. HCAI-Based Service Provision for an Engaged University

    Cristina Mele, Tiziana Russo Spena, Irene Di Bernardo, Angelo Ranieri, and Marialuisa Marzullo

    16. How Human-Centered Are the AI Systems That Implement Social Media Platforms?

    Alistair Knott, Tapabrata Chakraborti, and Dino Pedreschi

    17. AI Art and Creation as a Tool to Demystify AI: The Case Study of CHOM5KY vs. CHOMSKY

    Sandra Rodriguez

    18. Christina Colclough’s Commentary

    Christina Colclough

    19. Joseph Nsengimana’s Commentary

    Joseph Nsengimana


    Section III: Lessons Learned and Promising Practices

    20. A Human-Centered Approach to AI Governance:  Operationalizing Human Rights through Citizen Participation

    Karine Gentelet, and Sarit K. Mizrahi

    21. Operationalising AI Regulatory Sandboxes for Children's Rights and Well-Being

    Vicky Charisi and Virginia Dignum

    22. Towards the Social Acceptability of Algorithms

    Marina Teller

    23. Human-Centered AI for Industry 5.0 (HUMAI5.0): Design Framework and Case Studies

    Mario Passalacqua, Garrick Cabour, Robert Pellerin, Pierre-Majorique Léger, and Philippe Doyon-Poulin

    24. Agile Governance as AI Governance: A challenge for governance reformation in Japan

    Kodai Zukeyama, Tomoumi Nishimura, Haluna Kawashima, and Tatsuhiko Yamamoto

    25. A Framework for Human-Centered AI-Based Public Policies

    Jakob Kappenberger and Heiner Stuckenschmidt

    26. Three Implementation Gaps to Harnessing Inclusive AI in Organizations

    Clementine Collett, Gina Neff, and Maria Axente

    27. Tatiana Revilla’s Commentary

    Tatiana Revilla

    28. Rebecca Finlay’s Commentary

    Rebecca Finlay


    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.

    "Régis, Denis, Axente, and Kishimoto’s book is among the pioneering works emphasizing the importance of human-centered AI. It plays a vital role in addressing our common challenge: How do we envision our future with AI? And what will we do to activate this vision?"

    --Yoshua Bengio, Professor of Computer Science at Université de Montréal, Canada