INFO188
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INFO 188 - Behind the Data: Humans and Values
Course Title
Behind the Data: Humans and Values
Course Description
This course blends social and historical perspectives on data with ethics, law, policy, and case examples to help students understand current ethical and legal issues in data science and machine learning. Legal, ethical, and policy-related concepts addressed include: research ethics; privacy and surveillance; bias and discrimination; and oversight and accountability. These issues will be addressed throughout the lifecycle of data--from collection to storage to analysis and application. The course emphasizes strategies, processes, and tools for attending to ethical and legal issues in data science work. Course assignments emphasize researcher and practitioner reflexivity, allowing students to explore their own social and ethical commitments.
Minimum
3
Maximum
3
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
Mulligan
Repeat Rules
Course is not repeatable for credit.
Student Learning Outcomes
Formats
Lecture
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Minimum Hours
6
Maximum Hours
6