Human-Centric Artificial Intelligence

Human-Technology Integration
1. Auflage 2026
ISBN: 978-1-041-05317-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 360 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Digital Sovereignty and Human-Centric AI

In an era where Artificial Intelligence (AI) is reshaping every facet of our society, this book focuses on how to design AI systems that prioritize human values and needs. It provides a deep dive into the principles of human-centric AI, exploring how technology can be designed around human values and needs to advance our prosperity and quality of life. This book emphasizes crucial aspects such as accountability, safety, security, and transparency, demonstrating their role in developing ethical and effective AI solutions. It also addresses the dynamics between human-AI collaboration and intelligence augmentation, highlighting the significance of human-in-the-loop approaches to ensure AI systems are both explainable and interpretable.

Readers will gain insights into responsible AI practices, including addressing safety, security, and privacy issues, emphasizing user-centred design, which is vital for creating trustworthy AI that meets human needs and societal values across real-world and safety-critical contexts. With a blend of empirical case studies and theoretical analysis, this book showcases the potential of humancentric AI and guides integrating technology with human values.

Key Features:

- Explores the crucial and contemporary subject of human-centric AI, focusing on how AI can be designed and implemented to prioritize human values and enhance user experience in today's rapidly evolving technological landscape.

- Covers the application of human-centric AI in various essential sectors, including healthcare, energy, transportation, and Industry 4.0. It provides practical insights into how AI can be harmonized with human needs to improve outcomes in these critical areas.

- Serves as a foundational text for both industry practitioners and academics. It combines theoretical frameworks with practical applications, offering a robust understanding of human-centric design principles and their real-world implementation.

- With its focus on integrating human values into AI systems, this book has the potential to become a highly influential and widely recognized resource in the field of AI.

- Addresses pressing issues such as ethical considerations, privacy, and the impact of AI on various domains, this book is well-positioned to be highly cited. It tackles real-world problems including data protection, user trust, and societal impacts, making it a valuable reference for future research and discussions in the AI community.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Misra, Sanjay

Traymbak, Shruti

Chockalingam, Sabarathinam

Kjølerbakken, Morgan

Braarud, Per Øivind

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

Preface. 1. Toward a More Human-Centric Machine Learning Paradigm: A Transcendental Theory. 2. A Sociomaterial Perspective on Generative Artificial Intelligence: Understanding AI Literacy as a Constitutive Entanglement. 3. Discretion in Decision-Making with Artificial Intelligence. 4. Human-Centric AI in Safety-Critical Domains—Air Traffic Management Case. 5. Bridging Security and Human-Centered Design in Ethical AI-Driven Continuous Authentication. 6. Deep Q-Network-Driven Human-Centric Reinforcement Learning for Safe and Trustworthy Human–Robot Interaction. 7. User-Centered Design and Development of a Health eCoach App with Language Models and Semantics. 8. Unveiling Design Spaces to Integrate UI/UX with Data-Driven Approach for Advanced e-Health App. 9. HeartBuddy: Harmonizing Clinician Expertise and Ethical AI for Transparent Cardiac Diagnostics. 10. Ensuring Interpretability and Explainability in Healthcare Applications: A Human-Centric AI-Based Approach to Mental Health. 11. Anticipating Trustworthy GenAI in the Public Healthcare System: Co-Producing Human–AI Governance between Patients and GPs in the Basque Country through Living Lab Assemblages. 12. Trustworthy AI: Insights from the ENFIELD—European Lighthouse to Manifest Trustworthy and Green AI Project. Index. About the Editors.

Über Autor(innen)

Dr. Sanjay Misra is a Senior Scientist at the Institute for Energy Technology (IFE), Norway, and a globally recognized expert in Digital Sovereignty, Applied Informatics, and human-centric AI. A Senior Member of IEEE, he has received prestigious awards, including the IET Software Premium Award. He has edited over 100 books and delivered 100+ keynotes worldwide, serving as Editor-in-Chief of several leading journals.

Dr. Shruti Traymbak is a Professor at GL Bajaj Institute of Management and Technology, India, specializing in Human Resource (HR) Management, HR Analytics, and Business Analytics. With a PhD from Birla Institute of Technology (BIT) Mesra, Ranchi. She has published extensively in Australian Business Deans Council (ABDC) and Scopus-indexed journals. Her work bridges human behavior, analytics, and organizational intelligence in data-driven environments.

Dr. Sabarathinam Chockalingam is a Senior Researcher in Cyber Security at IFE, Norway. He has extensive experience leading and contributing to national and international research projects and OECD Nuclear Energy Agency (NEA) initiatives. His work focuses on cyber security, risk management, safety, and human-centric AI for protection of critical infrastructures. He provides leadership through editorial service to reputable journals.

Dr. Morgan Kjølerbakken is a Physicist and Computer Scientist, and Head of Department at IFE, Norway, specializing in Data Science and AI. He is also an Associate Professor at the University of Oslo and a serial entrepreneur involved in successful startups. His interdisciplinary research spans AI, signal processing, and sensor technologies, driving innovation across academia and industry.

Dr. Per Øivind Braarud is a Principal Scientist and Head of Department at IFE, Norway, with a PhD in Cognitive Psychology from the Norwegian University of Science and Technology (NTNU). He is an expert in human factors, cognitive workload, and team performance in safety-critical systems. His work also focuses on human-AI/human-technology interaction in high-risk industries.