PHL377H1: Ethical Issues in Big Data


An intermediate-level treatment of fundamental ethical problems arising in “Big Data” and artificial intelligence. Formal tools from economics and statistics will be applied to emerging ethical technology issues such as model transparency, data bias, and privacy. Broader political issues such as the geopolitics of AI may also be covered.

9.0 credits in any field, with at least 1.5 in PHL including 0.5 from PHL273H1/ PHL275H1/ PHL281H1/ PHL295H1
Thought, Belief and Behaviour (2)