Contact My SSW Intranet Report Sexual Misconduct

Main menu

Interdisciplinary Problem Solving (Law)

SW741, Section 001

Through a team-based, experiential, and interdisciplinary learning model, small groups of U-M graduate and professional students work with faculty to explore and offer solutions to emerging, complex problems. This course is offered through the Law School’s Problem Solving Initiative and the topics vary by semester.

Topic Description / Additional Information

Human drivers make conscious and unconscious choices that have invidious discriminatory implications, from which neighborhoods to drive through or avoid, to how to interact with other drivers based on perceived demographic features. Robotic driving may eliminate some social biases but create many others through machine learning. In this class, multi-disciplinary student teams will apply problem solving tools, learn from experts, and explore potential rules, metrics, tests, and safe harbors that could address algorithmic discrimination. Applying tools and insights they learn throughout the term, students will craft innovative solutions informed by law, policy, engineering, information, and other disciplines.

Semester: Fall 2020
Instructors: Daniel Crane, Bridgette A. Carr
Topic: Connected and Automated Vehicles: Algorithmic Discrimination
U-M Class #: 34071
Time: Tue 3:15 PM - 6:30 PM
Program Type: Residential
Format: Online
Credits: 3 Credit Hours

Course Codes

W:Social Work is not the home dept; home dept in parenthesis, contact home dept with questions
T:PSI - Problem Solving Initiative course

Pathway Associations

Community Change
Interpersonal PracticeElective
Mgmt & Leadership
Policy & PoliticalElective (Host)
Program EvaluationElective
Older Adults
Children & Families

Other SW741 Offerings

* The course listings below are provided for reference only. These offerings may be subject to change or cancellation.

Term Section Days Time  
Fall 2023 002 Thu 12:30 PM - 3:30 PM View Course

Contact Us Press escape to close