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 a AI user, this book will help you gain a better understanding of HCAI's impact on our societies.
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.
Arvustused
"Régis, Denis, Axente, and Kishimotos 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
Foreword Yoshua Bengio. Introduction Atsuo Kishimoto, Catherine Régis,
Jean-Louis Denis, Maria Axente. Section
1. 1. Defining Human-Centered AI: An
Interview with Shannon Vallor Shannon Vallor.
2. Towards 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
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 Raos Commentary Anand Rao.
9.
Benjamin Prudhommes Commentary Benjamin Prudhomme. Section
2. 1.
Implementing Good Governance Strategies for Human-Centered AI in Healthcare:
Connecting Norms and Context Michael Da Silva, Jean-Louis Denis, and
Catherine Régis.
2. 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.
3. AI and
Judiciary Decisions Takehiro Ohya.
4. Crafting human-centred AI in workspaces
for better work Christian Lévesque, Cassandra Bowkett, Julie (M.É.) Garneau,
and Sara Pérez-Lauzon.
5. Artificial Intelligence in Higher Education:
Opportunities, Issues and Challenges Bruno Poellhuber, Normand Roy, and
Alexandre Lepage.
6. HCAI-based service provision for an engaged university
Cristina Mele, Tiziana Russo Spena, Irene Di Bernardo, Angelo Ranieri, and
Marialuisa Marzullo.
7. How human-centred are the AI systems that implement
social media platforms? Alistair Knott, Tapabrata Chakraborti, and Dino
Pedreschi.
8. CHOM5KY vs. CHOMSKY: A reflection on Emulations, Meanings and
metaphors Sandra Rodriguez.
9. Christina Colcloughs Commentary Christina
Colclough.
10. Joseph Nsengimanas Commentary Joseph Nsengimana. Section
3.
1. A Human-Centered Approach to AI Governance: Operationalizing Human Rights
Through Citizen Participation Karine Gentelet, and Sarit K. Mizrahi.
2.
Operationalising AI Regulatory Sandboxes for Children's Rights and Well-being
Vicky Charisi, and Virginia Dignum.
3. Towards the social acceptability of
algorithms Marina Teller.
4. 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.
5. Agile
Governance as AI Governance: A challenge for governance reformation in Japan
Kodai Zukeyama, Tomoumi Nishimura, Haluna Kawashima, and Tatsuhiko Yamamoto.
6. A Framework for Human-Centered AI-based Public Policies Jakob
Kappenberger, and Heiner Stuckenschmidt.
7. Three Implementation Gaps to
Harnessing Inclusive AI in Organizations Clementine Collett, Gina Neff, and
Maria Axente.
8. Tatiana Revillas Commentary Tatiana Revilla.
9. Rebecca
Finlays 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 worlds 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 Québecs 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.
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