This graduate course introduces contemporary artificial intelligence techniques with a specific focus on their current and potential applications in live performance, especially theater. Oriented towards theater practitioners of all disciplines and scholars, it covers computer vision, sentiment analysis, natural language processing, and deep learning, among others.
In particular, the class concentrates on techniques that are becoming widely and inexpensively available through open source software and cloud-hosted services. Additionally, ethical and social dimensions of these technologies—e.g., bias, access, and data privacy—that may influence decisions about their use in public performances are assessed.
Jeff Burke—Theater 298—Fall 2019.