Teaching and Learning with the Libraries

Definitions

• Artificial Intelligence is the capability of a machine to imitate intelligent human behavior. 
• AI Literacy is a set of competencies that enables individuals to critically evaluate AI technologies; communicate and collaborate effectively with AI; and use AI as a tool online, at home, and in the workplace (Long and Magerko, “What Is AI Literacy?”).
• Natural language processing is a theoretically motivated range of computational techniques for analyzing and representing naturally occurring texts at one or more levels of linguistic analysis for the purpose of achieving human-like language processing for a range of tasks or applications (Liddy, “Natural Language Processing").

• Prompt engineering is a new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics (“Prompt Engineering Guide”).

As librarians working with emerging technology (ex. tech in the Sunderland Foundation Innovation Lab), we differentiate between making and making use of. For example, making a 3D printer or making a 3D model are different from printing an existing model to make use of a 3D printer. Similarly librarians and teachers don't usually make AI tools, but we and our students might make use of them. We leave programming and training machine learning models to computer scientists but it's important to know a little about what's under the hood before taking off with it. Artificial intelligence literacy is building skills to responsibly and confidently make use of artificial intelligence.

Working with AI Generators

Write a prompt to get output from an AI generator. Prompt engineering is the term that describes the strategies for writing prompts. You can learn to write great prompts for both text and images.

Text Prompting

AI tools for text generation are proliferating. OpenAI's ChatGPT, Anthropic's Claude, Google Bard, Bing Chat, and others are emerging quickly. Recommended search terms to find these tools are: 

• GPT tools
• AI writing assistant
• Writer’s block
• Predictive text
• Content generators

These authors have excellent advice for constructing effective prompts.

Image Prompting

Use specialty AI tools to support and further your research. Below are three we use. But more come out all the time. Follow Andy Stapleton's YouTube channel to learn about new features and tools.

Citing Generative AI

Currently, content made by text and image generators are often, but not always, treated as personal communications by many citation styles. As this is an evolving area of writing consider searching for phrases such as "citing generative AI in STYLE", replacing the word style with your citation style name such as APA, MLA, Chicago 17th, etc.

Our copyright librarian, Gwen Sibley, has delivered several presentations on issues of copyright and works generated by or with AI. We have a recording of a recent talk she gave on the subject. If you'd like a presentation for your class write to her at grsibley@ksu.edu

Copyright & AI: Do You Agree to the Terms and Conditions?

AI ethics and bias are important topics for anyone who works with or uses artificial intelligence systems. In this section, you will find resources that can help you learn more about these issues and how to address them in your projects. You will also find links to online courses, tools, and organizations that are dedicated to promoting ethical and fair AI practices.