An introduction to the many ethical concerns surrounding data selection, collection, storage, retrieval, sale, and use of data sets and the algorithms that use them. Special focus on data bias, ownership, informed consent, data privacy, and security, as well as on algorithm fairness and jobs for those cataloging and tagging data sets, especially regarding workers from the third world or "AI Colonialism".
Equivalent:
DATA 532 - OK if taken since Fall 2024