The latest developments in computer science and artificial intelligence have brought us to a turning point in understanding intelligence itself. While AI has achieved near-perfection in narrow domains such as pattern recognition and language generation, it still struggles or entirely fails in areas requiring emotional nuance, contextual reasoning, ethical judgment, and cultural grounding. Human Intelligence and Artificial Intelligence: Mapping the Mind to the Machine offers a comprehensive, multi-dimensional view of where AI stands today in relation to human intelligence and the opportunities and challenges that lie ahead. The book equips readers with a foundational understanding of human cognition and how it shapes the field of AI. The structure of the book is designed to move progressively from accomplished AI domains to uncharted and ethically sensitive frontiers. Real-world examples, state-of-the-art models, and active research directions are paired with philosophical, psychological, and social insights to ground the technical discussions in human relevance. The final chapters of the book emphasize the importance of human-centered AI ecosystems―where AI is not a substitute but a tool for augmentation, creativity, and inclusion. As man-machine interactions enter a new era with the advent of agentic AI, an understanding of human cognitive processes is essential to design, operate and govern the agentic systems. There is significant research underway in top institutions and big tech companies at the intersection of human and artificial intelligence. This book equips readers with a foundational understanding of human cognition and how it shapes the field of artificial intelligence.
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