Hayner Library logo

This resource guide provides a curated selection of articles and videos to help you better understand artificial intelligence (AI), including large language models (LLMs), their capabilities, and their limitations. Also included are resources that explore the ethical considerations surrounding AI use and tools to strengthen media literacy—an essential skill in navigating today’s digital information landscape. Whether you’re a student, educator, or curious learner, this guide is designed to support informed and critical engagement with emerging technologies.

 View the AI Resource Guide Here

Below are links to resources in the following categories:

  • Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Limitations
  • Ethics
  • Media Literacy Skills

 

Artificial Intelligence (AI)

Artificial Intelligence – Britannica Library

  • Explains what AI is, including its history, technologies, risks, and possibilities
  • Log in with your Hayner Library card if accessing outside the library

AI Starter – AI Pedagogy Project (metaLAB at Harvard)

  • A short introductory guide to AI aimed at teachers, but the information is useful to anyone

A Generative AI Primer – National Centre for AI (UK)

  • A comprehensive introduction to Generative AI, including specific Generative AI models, capabilities, limitations, impact on education, and more

Critical Topics: AI Images

  • A series of class lectures created for Bradley University in Spring 2023 that explores AI images, including a history of Artificial Intelligence

 

Large Language Models (LLMs)

Large Language Models, Explained with a Minimum of Math and Jargon

  • Written for those of us without a background in mathematics or computer science, this is an in-depth explanation of how LLMs, like ChatGPT, work

Large Language Model Tutorial – AI Pedagogy Project (metaLAB at Harvard)

  • A brief, interactive introduction to using ChatGPT that walks you through entering prompts, dos and don’ts, and common myths.

How ChatGPT Works: A Non-Technical Primer – MIT

  • In this video, Rama Ramakrishnan, Professor of the Practice in Data Science and Applied Machine Learning at the MIT Sloan School of Management explains the AI Model ChatGPT

 

Limitations

When AI Gets It Wrong: Addressing AI Hallucinations and Bias – MIT

  • Discusses the potential for receiving inaccurate and biased information when using generative AI

Bias (Introduction to Generative AI) – University of Illinois

  • Discusses how biases may present when using Generative AI and includes examples from other resources

Hallucinations (Introduction to Generative AI) – University of Illinois

  • Discusses AI hallucinations, the term for when Generative AI produces incorrect, misleading, or nonexistent content

 

Ethics

Ethical Considerations for Using Generative AI – University of Alberta (CA)

  • An overview of various ethical concerns regarding the use of Generative AI

Privacy (Introduction to Generative AI) – University of Illinois

  • Discusses privacy issues related to AI and provides links to other resources on this topic

Labor (Introduction to Generative AI) – University of Illinois

  • Discusses labor issues related to AI and provides links to other resources on this topic

Explained: Generative AI’s Environmental Impact – MIT

  • (Jan. 2025) Half of a two-part series exploring the environmental implications of generative AI

The Uneven Distribution of AI’s Environmental Impacts – Harvard Business Review

  • (July 2024) Examines how different regions and communities are affected by the environmental impact of AI

 

Media Literacy Skills

Verifying Content Online Challenge – First Draft News

  • Interactive exercise to help you verify images, places, and accounts that you find online

Loki’s Loop: Misinformation Escape Rooms – University of Washington

  • Online escape room games designed to help build media literacy skills

Evaluating Online Information – University of Iowa

  • A comprehensive guide, including additional resources and tools, for assessing information

Evaluating Information Sources: Generative AI and ChatGPT

  • A guide specifically created for evaluating information created by Generative AI and ChatGPT

CrashCourse: Navigating Digital Information

  • A collaboration between author John Green, MediaWise, the Poynter Institute, and the Stanford History Education Group, this playlist of YouTube videos aims to help you evaluate the information you encounter online
  • We especially recommend this one on fact checking