Course Description
This course explores the use of artificial intelligence to tackle difficult social problems, and considers how to address ethical challenges that arise through appropriate design techniques. Drawing on work by computer scientists, philosophers, and social scientists, we will analyze several real-world case studies featuring the application of AI methods to problems in public health, conservation and public safety, including HIV prevention, tuberculosis prevention, predictive policing, and wildlife conservation. The course will also feature guest lectures from experts in social work, anthropology, criminology, and public health.
Note: the course presumes basic programming ability, but is accessible to concentrators in the humanities and social sciences as well as science and engineering.
Prerequisites
CS 50 or equivalent.
Course Time and Location
Mondays and Wednesdays, 3:00 PM-4:15 PM in Maxwell Dworkin 119
Contact Information
Milind Tambe (Instructor)
tambe@seas.harvard.edu
Maxwell Dworkin 125
Office hours: TBA
David Gray Grant (Instructor)
dggrant@fas.harvard.edu
Emerson Hall 303
Office hours: Thursdays 3:30 PM-4:30 PM
Han-Ching Ou (Teaching Fellow)
hou@g.harvard.edu
Office hours: Tuesday 4:00 PM~5:00PM at MD 1st floor open area
Ted Larson (Teaching Fellow)
talarson42@gmail.com
Office hours: Wednessday 4:15 PM~5:15 PM
Assignments and Grading
Homework: 45%
Participation: 25%
Final project: 30%
We released everything under a Creative Commons — Attribution license (https://creativecommons.org/licenses/by/4.0/).