Machine Collaboration

Introduction to machine intelligence and creativity, contextualized historically and applied to contemporary problems, ranging from commercial “AI,” large language models, opaque and transparent algorithms for representation and creativity, and arts practices vulnerable to exploitation by corporate and state practices of information and data. How should consumers and producers of technology interpret AI production, as art , as design, and as entertainment? Students survey practices and outcomes of machine creativity for cultural production writ large, synthesizing them in collaborative scholarship and curation.