Course Schedule and Catalog
Course Schedule - Fall Semester 2022
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
COMP 603 001 (CRN: 14425)
AI ETHICS
Long Title: AI ETHICS
Department: Computer Science
Instructor: Ferreira Flores, Rodrigo
Meeting: 4:00PM - 5:15PM M (22-AUG-2022 - 2-DEC-2022)
Part of Term: Full Term
Grade Mode: Satisfactory/Unsatisfactory
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 1
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Must be enrolled in one of the following Degree(s):
Doctor of Philosophy
Must be enrolled in one of the following Department(s):
Computer Science
Section Max Enrollment: 10
Section Enrolled: 5
Enrollment data as of: 3-MAY-2024 1:25AM
Final Exam: GR Course-Dept Schedules Exam
Description: Recent advances in machine learning and robotics have led technology users, developers, and policymakers to increasingly consider the role of AI in social, economic, and political life. Amid both utopian and dystopian visions for the potential of AI, important questions about the role of “artificial” intelligence in “human” society are newly emerging or being considered anew: what kinds of sociotechnical processes count as “AI”? What will be the moral status of “autonomous” entities? What will be the social, cultural, and political impact of AI? What will this impact be in different cultures and nations around the world? In this class, we will draw on a diverse set of historical and theoretical materials - including academic texts, historical analyses, technical reports, and science fiction film and literature - to examine the affordances and limitations of AI in areas such as labor, healthcare, and criminal justice, and on software such as videogames, social media platforms, and virtual reality.