Ethics of Models, Metrics, Algorithms, and Data

3 credits · Undergraduate Programs

Ethical frameworks pertaining to data science. Algorithmic fairness and bias. Explainable results in machine learning and artificial intelligence. Privacy and data governance for large datasets. Human implications of data science in Indigenous and underserved communities. Prerequisite(s): Data Science 221. Antirequisite(s): Credit for Data Science 414 and Philosophy 314 will not be allowed.