Integrating Data Science Ethics Into an Undergraduate Major: A Case Study

• Published in: Journal of Statistics and Data Science Education Vol. 30; no. 1; pp. 15 - 28
• Main Authors: Baumer, Benjamin S., Garcia, Randi L., Kim, Albert Y., Kinnaird, Katherine M., Ott, Miles Q.
• Format: Journal Article
• Language: English
• Published: Alexandria Taylor & Francis 02.01.2022; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Accountability; Algorithms; Artificial intelligence; Capstone Experiences; Capstone projects; Case Studies; College Faculty; College Science; Communities of Practice; Copyrights; Core curriculum; Course Descriptions; Curriculum Design; Data Analysis; Data ethics; Data science; Education; Ethics; Ethnicity; Introductory Courses; Liberal Arts; Machine learning; Majors (Students); Mathematical Models; Medicine; Music; Program Descriptions; Programming; R&D; Race; Research & development; Research ethics; School Policy; Science Curriculum; Science education; Science Instruction; Self Evaluation (Groups); Social Networks; Statistical Data; Statistics Education; Student Attitudes; Students; Teaching; Teaching Methods; Undergraduate curriculum; Undergraduate Students; Undergraduate Study; Massachusetts

We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our maj...