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PHL 377H1

Ethical Issues in Big Data

0.5 credits · Undergraduate

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.

Prerequisites & course information

Prerequisite: 9.0 credits in any field, with at least 1.5 in PHL including 0.5 from PHL273H1 / PHL275H1 / PHL281H1 / PHL295H1; Prerequisite:

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