ENGH 210: Equitable AI

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Course Information from the University Catalog

Credits: 3

Provides an interdisciplinary perspective on the development of technological systems, including scientific, creative, and social perspectives. Identifies ethical issues through analysis of abstract AI/ML technology. Teaches students how to communicate those issues to various stakeholders using the correct vocabulary. Uses rhetorical theory and practical frameworks to evaluate projects and develop guidelines that encourage more fair and equitable outcomes. Limited to three attempts.
Mason Core: Info Tech & Computing
Recommended Prerequisite: Lower division composition requirement
Schedule Type: Lecture
Grading:
This course is graded on the Undergraduate Regular scale.