Author: Leslie Kaelbling, Serena Booth, Marion Boulicault, Dheekshita Kumar, Rodrigo Ochigame, Tess Smidt
Keywords: machine learning; bias and fairness in machine learning; data bias; model bias
The course has weekly labs, in which students work in pairs and have an opportunity to discuss their work with an instructor during a check-off process.
Each weekly lab has an accompanying SERC question and discussion prompt. These SERC questions aim to help the students connect the technical content of the class to the social consequences of seemingly-technical design decisions.