Artificial Intelligence - Faculty

• Mapping out a road trip
• Created graphics for anything
• Doing quick research on the web
• Quick reference data look-up How to write a Haiku
• Summarizing text "with citations"
• Generate music and lyrics 

Academic AI Survival Guide

Do's

Assistance in generating ideas

• Clarifying course concepts

• Generating ideas for essay titles and outlines(outlines do not copy paste)

• Asking for feedback on snippets of code or help with Excel formulas

Do not's

• It is prohibited to type, dictate, copy, paste or otherwise transfer content owned by

DeVry University and subject to copyright, such as course content and materials with

the copyright symbol, into non-DeVry AI tools.

• Use of AI tools is prohibited for challenge exams, entrance

exams, appeals, or for other submitted materials to derive academic or financial

benefit, without express written permission from an appropriate DeVry

administrator.

• It is prohibited to use generative AI to complete the written portion of any DeVry

scholarship application. For more information, see the DeVry Scholarship Fund

Applications AI Guidelines

• The Way I See It. Leo S. Lo AI Literacy: A Guide for Academic Libraries
• New EDUCAUSE Podcast: A Practical Guide to AI Literacy August 11, 2025 by Gary Price

• Culture Eats AI for Breakfast: The Critical Change Leadership Strategy for AI Adoption

Artificial Intelligence Information Literacy Components

Authority Is Constructed and Contextual

• Artificial Intelligence (AI) large language models are based on data inputs.
  • AI Chatbots that use data from the internet like Gemni, CoPilot, ChatGPT, and like are still evolving and suffer from invalid data output. It will hallucinate.
  • AI Chatbots based in a Library database or with a defined dataset have better accuracy.
• Data sets contain biased information. Sometimes extremely biased.
• AI uses probability to formulate its responses, not necessarily facts.
• Opinions expressed in the prompt will be expressed in the results.
• AI applications in library databases sometimes misrepresent the data.  

Information Creation as a Process

• The response is only as good as the prompt. AI tends to be vague and general.
• AI aggregates information from disparate sources. Not all are authoritative, unless in a database environment.
• Large Language Models (LLM) probability programming to produce natural-sounding language, however, intended and unintended bias may be displayed in the results. 

Information Has Value

• Hallucinations! It will make up sources and facts depending on the dataset.
• Verify all resources cited in a response.
• AI applications in the library databases pull from a defined pool of information (dataset/scholarly sources/articles). 

Research as Inquiry

• AI may be used to narrow or expand a topic. 
• AI applications in library resources can summarize sources and allow the user to explore a topic more efficiently.
• AI is useful for generating search terms.
• AI is useful for generating lists.
• AI is useful for generating outlines (caution, the outlines are very general and lack details found in academic outlines). Do not copy and paste.
• Bias is an issue due to an incomplete dataset. AI does not have access to everything.

Scholarship as Conversation

• AI can not speak for a student, it can summarize complex technical writing.
• Useful for creating and refining ideas and concepts.
• AI application may be used to summarize the "conversation/research to date." 

Searching as Strategic Exploration

• AI does not evaluate resource validity in responses. 
• Generates keywords for searching and further prompt engineering.
• Generates topics for research and further prompt engineering.
• Generates outlines that assist in research strategy and subtopic selection.