Cultural analytics amid the rise of generative AI: critical insights for human-AI cocreative cultural studies
摘要
This essay reviews Cultural Analytics by Lev Manovich as a foundational text that not only charts the historical and technical emergence of cultural analytics but also provokes a deeper interrogation of how digital and generative AI-driven methods reconfigure the very ontology, cognition, and ethics of cultural inquiry. Cultural analytics combines computer science, data visualization, and media arts to study cultural phenomena at scale; generative AI further extends this paradigm by producing new artifacts that blur boundaries of authorship and challenge traditional categories. This review, following Manovich’s admonition throughout the book, concludes that that meaningful human-AI co-creative cultural studies require both advanced computational methods and philosophically informed safeguards, ensuring that the richness of human experience and the agency of communities remain central.