Human-centered artificial intelligence (AI) is reshaping healthcare, finance, business strategy, and governance by embedding intelligent systems into decisions that directly affect people's lives. Applications such as seizure prediction, organ transplant matching, mental stress detection, financial inclusion modeling, and AI-driven recruitment demonstrates how data-driven tools can improve accuracy, access, and personalization across critical domains. At the same time, integrating AI into areas like human resources, digital markets, competition law, and cyberbiosecurity raises important questions about fairness, transparency, accountability, and human oversight. By prioritizing human needs, ethical safeguards, and contextual awareness, this field has the potential to enhance well-being, economic opportunity, and institutional effectiveness while ensuring that technological advancement remains aligned with societal values. Human-Centered AI Applications in Health, Business, and Society explores how human-centered AI can be applied across health, business, and societal domains to improve decision-making, efficiency, and quality of life. It examines both technical innovations and the ethical, legal, and social considerations necessary for responsible AI adoption. Covering topics such as adaptive risk modeling, forensic science, and talent acquisition, this book is an excellent resource for researchers, academicians, industry professionals, healthcare practitioners, financial analysts, HR managers, technology developers, policymakers, and more.
