This book introduces the emerging field of "Humane Artificial Intelligence", emphasizing the crucial importance of interdisciplinarity in developing AI systems aligned with human values and well-being. While traditional AI development has often prioritized efficiency and optimization, the book advocates a paradigm shift toward frameworks that integrate ethical principles, transparency, and human considerations at the heart of AI systems. It synthesizes research across four interconnected dimensions. First, it establishes foundational frameworks for human-AI relationships, exploring models of cognitive extension and philosophical debates from Turing to contemporary questions about machine meaning and intentionality. Second, it explores human creativity, cognition, and enhancement, revealing when human-AI combinations prove most effective, while raising questions about artificial consciousness and well-being. Third, it explores professional applications, demonstrating how integrating AI into workplace governance, mental healthcare, and diagnostic imaging requires careful attention to human expertise. Fourth, it addresses legal and regulatory frameworks, examining both ambitious visions for human-AI legislation and the practical challenges of regulating rapidly evolving technologies. By understanding the interdisciplinary dimension of human-AI interaction, we can develop technologies that respect human autonomy, enhance capabilities, promote well-being, and reflect our highest values.