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.
Topics
Module 1: AI and Information Professions (Weeks 1-4)
- Week 1: Introduction to AI and Information Professions
- Week 2: AI for Search, Discovery, and Recommendation
- Week 3: AI for Knowledge Management and Information Systems
- Week 4: AI, Communication, and Society
- Module 1 Assignment: Exploring an AI Tool for Information Work
Module 2: AI Foundations (Weeks 5-8)
- Week 5: Concepts for Understanding AI
- Week 6: Symbolic AI
- Week 7: Subsymbolic AI (Machine Learning Basics)
- Week 8: Machine Learning Applications
- Module 2 Assignment: Learning AI with AI
Module 3: Generative AI and Large Language Models (Weeks 9-15)
- Week 9: Introduction to Generative AI
- Week 10: Prompt Engineering
- Prompt design, basic prompt patterns
- Week 11: LLM-based Tools
- Research tools, coding assistants, multimodal AI, enterprise use
- Week 12: Concerns of AI
- Privacy, copyright, hallucinations, bias, environmental impact
- Week 13: AI Policy, Governance, and the Future of AI
- Module 3 Assignment: Human-AI Collaboration
AI Watchlist (Optional)
Recently added:
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Head of Claude Code: What happens after coding is solved | Boris Cherny · Video
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Claude's new constitution · Article
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Something Big Is Happening · Commentary
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Project Autonomous Policy Evaluation (APE): Can AI automate policy evaluation? · Project
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State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI · Video
See the full stream → AI Watchlist
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.
Copyright and Reuse
© Heng Zheng.
Unless otherwise noted, original instructional content on this site is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
You are free to copy, adapt, and redistribute this original material in any medium or format, provided appropriate credit is given to the original author.
Third-party materials, including quoted text, excerpts, images, and other media, are included for educational purposes. Copyright for these materials remains with their respective rights holders and is subject to the terms of their original licenses or fair use.