
This resource explores how and why to apply ethics in machine learning. (Image by MIT OpenCourseWare.)
Course Description
In an effort to build the capacity of the students and faculty on the topics of bias and fairness in machine learning (ML) and appropriate use of ML, the MIT CITE team developed capacity-building activities and material. This material covers content through four modules that an be integrated into existing courses over a one to two week period.
Instructors: | |
Course Number: |
|
Departments: | |
Topics: | |
As Taught In: | Spring 2020 |
Level: |
Non Credit
|
Learning Resource Types
theaters
Lecture Videos