An AI Literacy class for information professionals, at the University of Denver. See the Syllabus.

Tools

An exercise for determining normative opinions on the line for ethical uses of AI, where the group generates appropriate, inappropriate, and borderline uses for AI, then ranks them.

Labs

Labs are ungraded by default, but there is a Portfolio where you submit your best labs for assessment. Portfolio details are in the Syllabus and there is a Portfolio planning page.

Compare different AI tools on specific tasks to understand their capabilities, limitations, and appropriate use cases.
Use AI as a constructive critic to identify potential problems and weaknesses in your work.
Practice iterative refinement using AI by progressively transforming content through specific lenses or directions.
Document and analyze notable real-world AI applications and implications observed throughout the quarter.
Use AI to assist in learning a new skill or exploring a new hobby while documenting the learning process.
Design a self-contained interactive experience that lives entirely within a single AI prompt.
Design and refine prompts for AI systems to classify data, iteratively testing against validation datasets to improve classification accuracy.
Explore and analyze bias in language models through counterfactual prompting, role reversal, and synthetic data generation exercises.
Develop guidelines for AI use in a specific organizational context, addressing ethical considerations and practical implementation.
Create AI-generated images and provide curator statements for others' work in a virtual gallery setting.
A comprehensive quiz covering the full range of course concepts, designed to demonstrate mastery of AI literacy fundamentals.