LIS/ICT 690 — AI Literacy for Information Organizations

Welcome to LIS/ICT 690: AI Literacy for Information Organizations. This site provides course content to support your learning.

The course introduces artificial intelligence from an information-centered perspective, examining major AI paradigms, applications in libraries and information systems, generative AI and large language models, and related ethical, legal, and policy considerations. No prior technical background is required.

Materials on this site may be revised or expanded as the course progresses.

Course Modules

Part 1: AI and Information Professions

Module 1: Introduction to AI and Information Professions
Module 2: AI for Search, Discovery, and Recommendation
Module 3: AI for Knowledge Management and Information Systems
Module 4: AI, Communication, and Society

Part 1 Assignment: Exploring an AI Tool for Information Work

Part 2: AI Foundations

Module 5: Concepts for Understanding AI
Module 6: Symbolic AI
Module 7: Machine Learning Foundations
Module 8: Machine Learning Applications

Part 2 Assignment: Learning AI with AI

Part 3: Generative AI and Large Language Models

Module 9: Introduction to LLMs
Module 10: Prompt Engineering Module 11: LLM-based Tools
Module 12: Concerns of AI
Module 13: AI Policy, Governance, and the Future of AI
Module 14: Final Project Workshop
Module 15: Final Project Submission

Part 3 Assignment: Human-AI Collaboration Project

AI Watchlist (Optional)

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AI use disclosure

Parts of the course planning and documentation development process made use of generative AI tools (including ChatGPT) to support drafting, organization, and refinement of instructional materials. All content has been reviewed, curated, and finalized by the instructor.

Feedback

If you have any feedback on the course content or this site, please contact Heng Zheng at hengzheng [at] uky [dot] edu.