5.0 out of 5 stars Reviewed in the United States This book opens up new conversations parallel to the development of technology. It has helped me personally to reflect on content production, and as a teacher to think of ways to analyze with my students the possibilities and limitations of AI content generation and information privacy. 5.0 out of 5 stars Reviewed in the United States ""HUMAN-CENTERED AI"" is an exceptional guide that bridges the critical gap between technological innovation and ethical responsibility in today's business landscape. The authors provide practical frameworks that managers can immediately implement to ensure their AI initiatives serve human interests while driving business value. This book should be mandatory reading for any executive navigating the complex intersection of technology, ethics, and corporate decision-making. 5.0 out of 5 stars Reviewed in the United States As someone working in data science, I found this book to be a refreshing take on how we can build AI systems that truly prioritize human welfare without sacrificing performance or efficiency. The step-by-step approach to implementing ethical algorithms makes complex concepts accessible to both technical teams and business stakeholders. The real-world case studies and decision-making frameworks provided invaluable insights that I've already begun incorporating into my own projects.