INFO 188 Behind the Data: Humans and Values 3 Units
Terms offered: Fall 2024, Fall 2022, Fall 2021
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.
Behind the Data: Humans and Values: Read More [+]
Objectives & Outcomes
Student Learning Outcomes: Critically assess one's own work and education in data science
Identify and articulate basic ethical and policy frameworks
Understand the relationship between one's own work and ethical frameworks and legal obligations
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Information/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructor: Mulligan