Springer Series on Cultural Computing

This book examines how artificial intelligence is transforming museums and art historical research by enhancing visitor inclusivity, scholarly innovation, and pedagogical practices. Chapters explore practical implementations of intelligent technologies, addressing accessibility, data-driven research, ethical frameworks, administrative leadership, and immersive digital learning. Combining theoretical insights with case studies and practical guidelines, it offers a comprehensive roadmap for responsibly integrating AI across art museums, scholarship, and education.