Responsible AI and Society

Catalog description

The course examines the applications of artificial Intelligence systems in multiple domains of society and the fundamental challenges and concerns introduced by such AI tools, which include but are not limited to accountability, biases, explainability, fairness, liability, privacy, and transparency. To tackle these challenges, we will take an interdisciplinary approach by first obtaining a non-programmer's overview of AI and data science before delving into the life cycle of AI systems, ethics, social justice, and rhetorical theories. Then, we will apply these interdisciplinary lenses to critically examine AI applications in multiple sectors to examine how AI can deepen racial and economic inequalities. We will explore how AI systems should be held accountable to communities and application contexts and how interdisciplinary research can be done to encourage public engagement, inform public discourses about the social impacts of AI, and help create more responsible AI.