DATA 4030: Data Ethics, Privacy and Governance
This seminar uses social frameworks to examine historical and contemporary questions around ethics, privacy, and governance. Students will be introduced to concepts relating to critical data studies, such as algorithm bias, machine learning, data colonialism, and critical code studies. Students will examine data in the context of medicine, privacy, capitalism, violence, moral responsibility, biometrics, governance, and labor practices. Readings and seminar discussions will involve identifying data problems and discussing solutions for creating responsible and beneficial data practices for their society. Students will storyboard, write, revise, and present a data ethics paper where they apply ethical reasoning to data issues. All technical skills will be taught in this course.
Course Goals
- Read and discuss key works by scholars of gender, race, sexuality, other inclusion topics pertaining to critical data studies and ethical frameworks for working with data.
- Identify markers of authority recognized by disciplines, professions, and other communities of knowledge and practice.
- Utilize data methods to communicate arguments supported by primary and secondary research while developing data ethics paper that considers course themes.
This seminar satisfies the "Textual and Historical Perspectives", "Race & Inclusion", and "Tier-2 Writing" Core Curriculum Requirements, has no prerequisites.
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