In an era defined by rapid technological advancement, concerns about the long-term adaptation of the human workforce in an increasingly automated world continue to grow. As AI systems become embedded across key industries, emerging research suggests a more complementary dynamic, where AI enhances human capabilities by enabling faster, more precise, and data-informed decision-making. However, there remains a pressing need for deeper exploration of this collaborative potential alongside critical issues such as ethical risks, including AI ethics washing. Human-AI Cognitive Collaboration for Industrial Evolution explores how human intelligence and artificial intelligence can co-evolve as complementary forces driving industrial transformation. Moving beyond the narrative of automation and replacement, this book emphasizes how AI can augment human judgment, creativity, and ethical reasoning in complex organizational environments. Covering topics such as AI ethics, human-machine symbiosis, and post-industrial education design, this book is an excellent academic resource for graduate and doctoral students, digital strategy leaders, innovation managers, curriculum designers, and more.