Human-Centered AI : A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users / edited by Catherine Régis, Jean-Louis Denis, Maria Luciana Axente, and Atsuo Kishimoto.

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- Note -- Foreword -- Notes -- List of Contributors -- Introduction -- Background -- Significance of Human-Centered AI -- Definition and Scope of Human-Centered AI -- The Potential Risks Posed by AI Technology -- HCAI for Each Stakeholder -- Policy-Makers -- Industry Practitioners -- Researchers -- General Public -- Three Angles of Discussion -- References -- Section I: Meanings, Trends and Approaches in the Study of HCAI -- Chapter 1: Defining Human-Centered AI: An Interview with Shannon Vallor -- Chapter 2: Toward Addressing Inequality and Social Exclusion by Algorithms: Human-Centric AI through the Lens of Ubuntu -- Introduction -- Ubuntu as an Ethical and Legal Concept -- The Concept of egale dignit e through the Lens of Ubuntu-Lessons from the South African Constitutional Court -- Social Exclusion as a Violation of Relational Dignity -- Relational Autonomy-Balancing Individual and Group Rights through Meaningful Engagement -- Being Human in a (Digital) Society-Ubuntu's Contribution to the HCAI Debate -- The AI Fairness Research Community -- AI Programmers and Computer Scientists -- The Interaction between AI Systems and Their Users -- Conclusion-Toward Intercultural Dialogue for HCAI -- Notes -- References -- Chapter 3: Redefining Human-Centered AI: The Human Impact of AI-Based Recommendation Engines -- Introduction -- New Opportunities -- AI as an Extended Cognitive Aid -- Intention -- Rationality Engines -- Remembering in the Cloud -- Conclusion: The Effects of Recommendation Engines on Us-How Can Recommendation Engines Be Human-Centered? -- The Next Frontier-Delegating Ourselves to Generative AI Services -- Can We Consider These Effects as Human-Centered Artificial Intelligence? -- Notes -- References.

Chapter 4: Ethics at the Intersection: Human-Centered AI and User Experience Design -- Dominant Currents in the Ethics of Artificial Intelligence -- Techno-Social AI Ethics -- Techno-Social Engineering -- Moral De-Skilling and Habituation -- Design in Context -- Discussion -- Acknowledgment -- Notes -- References -- Chapter 5: Human-Centered Artificial Intelligence (HCAI): From Conceptual Examination to Legislative Action -- Shortcomings in the Conceptual Examination Phase -- AI as a "Shiny Object" -- The Blank Page Fallacy -- The Main Challenge: Permissive or Protective Approach -- The First Legislative Initiatives: The AI Act in the EU and Bill C-27 in Canada -- The AI Act in a Broader Context -- Conclusion -- Notes -- References -- Chapter 6: Privacy in the Future Era of AI -- The Past -- The Present -- The Future -- Conclusion -- Acknowledgment -- Notes -- References -- Chapter 7: The Moral Landscape of General-Purpose Large Language Models -- Introduction -- Natural Language Processing (NLP) -- Generative Pre-Trained Transformer 3 (GPT-3) -- Use Case Applications -- The Problem of Artificial "General-Purpose" Intelligence (AGI) -- Selected Ethical Concerns Regarding General-Purpose Large Language Models -- Potential Solutions to Be Explored -- Conclusion -- Notes -- References -- Chapter 8: Anand Rao's Commentary -- Chapter 9: Benjamin Prud'homme's Commentary -- Section II: Sectoral Representations of HCAI -- Chapter 10: Good Governance Strategies for Human-Centered AI in Healthcare: Connecting Norms and Context -- Introduction -- Health-Related AI: A Brief Overview -- Human-Centered Health-Related AI and Human-Centered Design -- Regulatory Considerations -- The Importance of Context -- Conclusion -- Acknowledgment -- References -- Chapter 11: Human-Centered AI for Sustainability and Agriculture -- Guiding Principles for HCAI in Social Contexts.

Guiding Principle 1: Inclusive Data Stewardship -- Guiding Principle 2: Robust AI Applications -- Guiding Principle 3: Trust in Partners, Project, and Technology -- Guiding Principle 4: Systems of Accountability -- Human-Centered AI in Practice: The Data-driven Insights for Sustainable Agriculture Project -- Developing the Project -- Applying the Four Guiding Principles -- Guiding Principle 1: Inclusive Data Stewardship -- Guiding Principle 2: Robust AI Models -- Guiding Principle 3: Trust in Partners, Project, and Technology -- Guiding Principle 4: Systems of Accountability -- Conclusion -- References -- Chapter 12: Crafting Human-Centered AI in Workspaces for Better Work -- Introduction -- AI for Future and Better Work -- The Quality of Work Under I4.0 and Platform Work -- The Digitalization of Production through I4.0 -- The Digitalization of Work through Platform Work -- HCAI for Better Work and … Better Society -- Conclusion -- References -- Chapter 13: AI and Judiciary Decisions -- Modern Trial and Reason -- Deep Learning and Lack of Reason -- Ongoing Use of AI -- Reason and Cause -- Following the Rules -- Conclusion -- Notes -- References -- Chapter 14: Artificial Intelligence in Higher Education: Opportunities, Issues, and Challenges -- Contexts of Artificial Intelligence in Education (AIED) -- Affordances and Opportunities of AI to Support Teaching and Learning in Higher Education -- Case No. 1. Learning analytics and students' dashboards -- Case No. 2. Adaptive learning -- Case No. 3. ChatGPT and generative AI -- Discussion and Conclusion -- References -- Chapter 15: HCAI-Based Service Provision for an Engaged University -- Introduction -- Service Provision and Education -- Engaged University -- AI-based Technologies and Edutech -- Exploiting Artificial Intelligence for an Engaged University -- Engaged Education -- Engaged Research.

Engaged with Society -- Conclusions -- Appendix 1 Examples of AI-Based Technologies Used in Engaged Universities (Authors' Elaboration) -- References -- Chapter 16: How Human-Centered Are the AI Systems That Implement Social Media Platforms? -- Introduction -- Recommender Systems -- How Recommender Systems Learn -- A Concern about the Learning Mechanism -- Content Classifiers -- How Content Classifiers Learn -- A Concern about the Learning Mechanism -- Human-Centered Transparency for Recommender Systems -- Human-Centered Transparency for Content Classifiers -- Summary -- Note -- References -- Chapter 17: AI Art and Creation as a Tool to Demystify AI: The Case Study of CHOM5KY vs. CHOMSKY -- On Art and Emulations: Demystifying AI through AI -- Reflecting on Meaning: CHOM5KY vs. CHOMSKY as a Case Study -- On Metaphors: What Are We Leaving Behind? -- Conclusion -- Notes -- References -- Chapter 18: Christina Colclough's Commentary -- Chapter 19: Joseph Nsengimana's Commentary -- Section III: Lessons Learned and Promising Practices -- Chapter 20: A Human-Centered Approach to AI Governance: Operationalizing Human Rights through Citizen Participation -- Introduction -- Invisible Social Contexts -- The Disconnect Between Human Rights Protection and Normative Approaches to AI -- Citizen Participation as a Tool for Achieving Social Justice -- Conclusion -- Notes -- Bibliography -- Legislation -- Jurisprudence -- Doctrine -- Chapter 21: Operationalizing AI Regulatory Sandboxes for Children's Rights and Well-Being -- Introduction -- Motivation and General Scope of the Chapter -- Review of Relevant Work on Sandboxes in General and in AI Systems -- What Is Special about Children? -- The Importance of Variability of Contexts for the Developing Brain -- The Challenge of Protecting Children's Privacy and Safety at the Same Time -- Agentic Capacity in Childhood.

Methodology -- Overview of Policy Initiatives for Children and Identification of Common Characteristics -- Sandboxes for Age-Appropriate AI and Children -- Proof of Concept: A 4-step, Process-Oriented Approach -- Conclusions -- Notes -- References -- Chapter 22: Towards the Social Acceptability of Algorithms -- Introduction: Towards a World Governed by Algorithms -- From Algocracy to Algorithmic Democracy -- A Specific Legal Framework -- Effectiveness versus Legitimacy -- Towards the Social Acceptability of Algorithms -- From a Risk-Based Approach to a Rights-Based Approach -- Procedures for Citizen Involvement -- Notes -- References -- Chapter 23: Human-Centered AI for Industry 5.0 (HUMAI5.0): Design Framework and Case Studies -- Introduction -- Related Literature -- Existing Design Methods and Frameworks -- Technology-Centered Design for AI and Limits -- Complementary Design and Analysis Methods to Address Technocentrism Shortcomings -- Systemic Methods of Human Work Analysis to Inform Design -- Integrative Design Frameworks for Industry 5.0 -- Limitations of the Existing Frameworks -- Human-centered AI for Industry 5.0 (HUMAI5.0) Framework -- 23.4 Case Studies -- Error Detection in Manufacturing -- Context -- Framework Application -- Step 1-Analysis -- Step 2-Task Identification -- Step 3-Work Demand Analysis -- Step 4-Outcome Analysis -- 23.4.1.2.5 Step 5-Work Design -- Conclusion -- Quality Control of Aircraft Maintenance -- Context -- Concluding Remarks -- References -- Chapter 24: Agile Governance as AI Governance: A Challenge for Governance Reformation in Japan -- Introduction -- Why Does Agile Governance Relate to HCAI? -- AI and Society 5.0 -- Two Approaches to HCAI -- The Relationship between Agile Governance and HCAI -- Agile Software Development Analogy -- What Is Japanese Agile Governance? -- Two Premises.

Limits of the Conventional Governance Model.

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 23 captivating chapters, this book delves deep into the realm of HCAI. In Section 1, it demystifies HCAI, exploring cutting-edge trends and approaches in its study, including the moral landscape of Large Language Models. Section 2 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 3 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 a 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".

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.