Material and Cultural Bias in Algorithmic Systems

5 credits

Project based course which examines the merging of data science, and arts and design practices. Draws from a range of theoretical texts and artistic works, combining textile and statistics literatures. Emphasizes mingling of ideas, multiple interpretations, and translations to critically represent, express, and challenge biased datasets and skewed machine learning systems. Offered: jointly with HCDE 485.