INTRODUCTORY ARTIFICIAL INTELLIGENCE (AI) AND DATA ETHICS
Introduction to contemporary moral and political issues in Artificial Intelligence (AI) and Data Ethics, integrating urgent problems, controversies, and continuously updated case studies. Introduces basic technical concepts such as the bias/variance tradeoff, the reference class problem, and inductive risk. Covers topics such as data and privacy, the impacts of automation on society, and the use of algorithms in medicine and criminal law.
Prerequisites & course information
Requisites: Sophomore standing Course Designation: Core GenEd - Humanities & Arts Breadth - Humanities or Social Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Critically evaluate ethical arguments in relation to data and artificial intelligence (AI). Audience: Undergraduate 2. Interpret complex texts accurately and analyze them logically by identifying explicit and implicit background assumptions, and by understanding which conclusions necessarily follow from them. Audience: Undergraduate 3. Discuss controversial ethical and social questions respectfully and with the aim of uncovering the truth. Audience: Undergraduate 4. Identify and evaluate the ethical, legal, and political implications of artificial intelligence (AI), as well as their historical and societal context. Audience: Undergraduate Learning Outcomes: 1. Critically evaluate ethical arguments in relation to data and artificial intelligence (AI). Audience: Undergraduate 2. Interpret complex texts accurately and analyze them logically by identifying explicit and implicit background assumptions, and by understanding which conclusions necessarily follow from them. Audience: Undergraduate 3. Discuss controversial ethical and social questions respectfully and with the aim of uncovering the truth. Audience: Undergraduate 4. Identify and evaluate the ethical, legal, and political implications of artificial intelligence (AI), as well as their historical and societal context. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027