Course Description
With artificial intelligence systems becoming more integrated into today's society, it is important for citizens to develop the ability to critically engage with the fundamental challenges and concerns introduced by such AI tools. In this course, you will learn how to identify biases and discrimination embedded in AI systems and how to use interdisciplinary research to encourage public engagement, inform public discourses about the social impacts of AI, and help create more responsible AI. Topics can include rhetorical theories, data ethics, AI ethics, algorithm systems and risks, AI Model Lifecycle Management, AI in job searches, medicine/healthcare, and finance; and biases and discrimination in automated decision-making systems.
Fall 2023
Instructors
Meeting Patterns
Classes Start:
August 21, 2023
Classes End:
December 5, 2023
Location:
00212 Caldwell Hall
Class Days:
T H
Class Start Time:
10:15am
Class End Time:
11:30am
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: ENG 101
