GENERATIVE ARTIFICIAL INTELLIGENCE: STRATEGIC APPLICATION, EVALUATION, AND CRITIQUE
Introductory exploration of generative artificial intelligence (AI) from a strategic information studies perspective, such as emphasizing values of privacy, data stewardship, and UX. Topics include societal, legal, policy, and ethical issues related to generative AI, and practicing the ability to evaluate, plan for, and securely work with these digital technologies. Focus on the strategies, skills and self-sufficiency necessary to evaluate, implement, and critique various and evolving AI tools.
Topics
- societal
- legal
- policy
- and ethical issues related to generative AI
- and practicing the ability to evaluate
- plan for
- and securely work with these digital technologies
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: Junior standing Course Designation: Core GenEd - Humanities & Arts Breadth - Humanities Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Develop ethical and principled approaches to AI and related technology adoption, use, and education Audience: Undergraduate 2. Analyze the social forces that create and shape the use of generative AI technologies, the ensuing controversies that can arise, and the complex relationship between these technologies and the future of information agencies Audience: Undergraduate 3. Evaluate, plan for, select, and safely and securely work with digital technologies Audience: Undergraduate 4. Develop self-sufficiency in evaluating and using generative AI tools Audience: Undergraduate Learning Outcomes: 1. Develop ethical and principled approaches to AI and related technology adoption, use, and education Audience: Undergraduate 2. Analyze the social forces that create and shape the use of generative AI technologies, the ensuing controversies that can arise, and the complex relationship between these technologies and the future of information agencies Audience: Undergraduate 3. Evaluate, plan for, select, and safely and securely work with digital technologies Audience: Undergraduate 4. Develop self-sufficiency in evaluating and using generative AI tools Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027