Special Topics: Fairness, Accountability, Transparency, & Ethics (FATE) in Sociotechnical Systems
Course Information
Course Number
HCI Undergraduate: 05-499
HCI Graduate: 05-899
Course Description
Artificial Intelligence (AI) systems are becoming more prominent in our everyday lives, ranging from communication, healthcare, finance, policing, transportation, workplace management, and more. However, there have also been increasing concerns about fairness and bias in these systems. In this course, we will focus on FATE: Fairness, Accountability, Transparency, and Ethics of these kinds of intelligent systems. We will examine a number of real-world cases, looking at these topics from philosophical, social, technical, design, and policy perspectives, discuss the potential benefits and pitfalls of various contemporary AI applications, and consider how we can best design and deploy future AI systems to deliver greater social good while mitigating concerns about fairness and bias. The course will be primarily organized around reading and discussing papers. There will be a few homework assignments, and a semester course project.
Semester Offered and Units
Semester: Fall 2023
Undergraduate: 12
units
Graduate: 12
units