Book

Description

AI vs Human Brain: Redefining Intelligence in the Age of Intelligent Machines explores one of the most fundamental questions of the modern era—what truly defines intelligence in a world increasingly shaped by artificial systems. The book presents a structured and interdisciplinary analysis that bridges neuroscience, artificial intelligence, and decision science to provide a deeper understanding of both human cognition and machine intelligence.   Beginning with the foundations, the book traces the evolution of the human brain alongside the development of artificial intelligence, from symbolic models to advanced machine learning and deep learning systems. It then offers a systematic comparison of cognitive architecture, learning processes, and decision-making mechanisms, highlighting the contrast between human adaptability and algorithmic precision. A distinctive contribution lies in the integration of Multi-Criteria Decision-Making (MCDM) frameworks, which connect human judgment with computational optimization.   The discussion extends to a critical evaluation of the strengths and limitations of both paradigms, addressing issues such as scalability, bias, interpretability, emotional intelligence, and ethical reasoning. The book further examines the growing importance of human–AI collaboration, emphasizing hybrid intelligence systems that combine contextual human insight with the analytical power of machines.   Looking toward the future, the book explores emerging frontiers such as artificial general intelligence, brain–computer interfaces, and the convergence of biological and artificial systems. It ultimately argues that intelligence should not be viewed as a competition between humans and machines, but as a complementary and evolving synergy shaping the future of innovation, decision-making, and society.