¸£Àû±ÆÕ¾

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.

Prerequisite: ·¡±·³ÒÌý101

Typically offered in Fall only