Human-Centric Artificial Intelligence

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.