Why do recommendations on Netflix, TikTok, Spotify, online marketplaces, and mobile banking often feel so relevant? Behind these digital experiences lies a combination of AI, Behavioral Science, and Data Analytics capable of understanding preferences, anticipating needs, and influencing how people make decisions. Through Personalization, Adaptive Nudging, and Intelligent Recommendation Systems, AI not only helps people make decisions but also shapes how those decisions are made. Behavioral AI explores the concepts, methods, and implementation of human-centered Intelligent Recommendation Systems. Covering Recommendation Systems, Personalization, Decision Intelligence, and Responsible AI, this book explains how organizations can use AI effectively while maintaining transparency, ethics, and trust. Combining academic perspectives with real-world AI implementation experience, this book serves as a practical guide for students, researchers, technology professionals, data scientists, product managers, and organizational leaders seeking to understand the future of decision-making in the age of artificial intelligence. "The future of AI is not only about building smarter machines, but also about helping people make better decisions."
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