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NOTICE: AI is new and constantly changing. This website will undergo frequent updates as more AI-related content is created or made available by Brigham Young University. If you know of AI-related content that should be featured on this site, please email ai-committee@byu.edu.

GENERATIVE ARTIFICIAL INTELLIGENCE (GENAI) AT BYU

Artificial Intelligence, specifically Generative AI (GenAI), is rapidly evolving and becoming increasingly important in our everyday lives. Find out how you can safely and responsibly use Generative AI at BYU.

About GenAI

Find training materials, discover what AI is, and access developer information.

GenAI Training

This collection of materials will be beneficial in helping those at different levels learn about various topics relating to GenAI.

Safe Use of GenAI

Defend yourself and BYU against insecure platforms while following GenAI best practices.

Academic Integrity

Rules and guidelines for ethical use of Gen AI in the classroom; what to do, and what not to do.

GenAI and Copyright

Both training and using AI services--especially GenAI-- can put you at risk for copyright, right to privacy, or right of publicity lawsuits.

GenAI Services

Many AI services exist and many more are in development. Their functionality and purpose vary greatly.

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July 2024 OPAC AI Workshop

Members of the AI Committee recently held a conference for members of OPAC on how to use AI responsibly in their daily lives
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Zoom AI Companion Now Available

As of May 2024, part-time and full-time employees (including student employees) now have access to Zoom AI Companion.
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Microsoft Copilot Enterprise Now Available For Campus Use

As of March 2024, students, faculty and staff now have access to use Microsoft Copilot Enterprise (formally Bing Chat Enterprise), at no cost to the user.
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Teaching Writing, Better

The College of Humanities participated in a seminar focused on incorporating the use of GenAI into writing classes across campus.
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Responsible Use of AI in Research

The Harold B. Lee Library recently hosted a seminar about the safe and appropriate use of AI within research.
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Consider the Wondrous Works of God

Elder Bednar spoke at a BYU devotional on January 23rd and outlined the positives and perils of GenAI.
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2024 EDUCAUSE AI Landscape Study

"Higher education stakeholders are currently exploring the opportunities afforded by AI for teaching, learning, and work while maintaining a sense of caution for the vast array of risks AI-powered technologies pose."
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AI passes computer science course with 100% accuracy

"An artificial intelligence system achieved a perfect grade in BYU’s Computer Science 110 class."
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Frequently Asked Questions

  • Generative AI, or GenAI for short, is a subset of artificial intelligence that focuses on the generation of content when given a prompt. This could come in the form of image generation, text generation, and even video and audio generation.

  • Generative AI, or GenAI, is a form of AI that absorbs vast amounts of data to create original content. This content could range from text to music or even images. It operates on complex machine-learning algorithms which are trained on extensive datasets.

    GenAI is presented with numerous content examples during training, helping it identify patterns and rules. Once trained, it can generate content that follows these identified patterns and rules.

    In simple terms, GenAI is an advanced mimic. Given enough examples, it learns to imitate the content convincingly, resulting in unique outputs similar to the original. Whether it's a new article, a music piece, or a graphic, GenAI helps create something unique and inventive.

  • You can find training materials on our GenAI training page.

  • Some academic departments have their own set of rules. You can find general information and guiding principles here, but otherwise, contact your department advisement for additional guidance.

  • There are many types of GenAI that are easily accessible. Find some here.

  • Prompt Engineering is a fascinating aspect of Generative AI. It's essentially the process of designing, fine-tuning, and optimizing the prompts or initial inputs that we provide to an AI system. The goal is to get the AI to generate the most accurate and useful output possible. Think of it like asking a question to a very knowledgeable friend, the way you phrase the question can greatly influence the type and quality of the answer you get. That's the essence of prompt engineering: it's about crafting the perfect 'questions' to elicit the best possible 'answers' from AI.

  • There are many limitations to GenAI, and GenAI services should never be trusted as correct without human validation. Some of the limitations of GenAI include biased answers and completely incorrect answers (often referred to as "hallucinations"). Users should always fact check output from AI services to determine accuracy.

  • GenAI is very good at certain things. For example, GenAI is very good at helping brainstorm ideas, checking for grammar errors in written text, and translating text into different languages. GenAI services also do a great job at role playing scenarios, which gives users valuable ideas and counter ideas. With that being said, there are also things that GenAI struggles doing. Weaknesses of GenAI include biased answers due to biased training data, as well as the possibility of low quality or incorrect answers. Understanding the strengths and weaknesses of GenAI can help users utilize it more efficiently.

  • There are many ethical considerations when using GenAI. Nonpublic Institutional Data should never be entered into a GenAI service. This is due to the fact that many services store user inputs for future training of the specific GenAI model. When GenAI has been used in any capacity, the generated content should be cited as AI-generated and the user should never attempt to take credit for AI-generated work. Lastly, output from GenAI models should always be verified. GenAI services are known to produce false or biased information and because of that, all output from GenAI services should be fact-checked before it is used in any capacity.

  • While BYU has a agreement with Microsoft for the use of Copilot, HIPAA and FERPA related data should not be entered into Microsoft Copilot. However, deidentification methods can be used to alter the data so that it is safe to use within Copilot, while still reaping the benefits of Copilot's capabilities. Training guides on deidentification data will be released on this site soon.