Generative AI at Purdue
Learn how to use AI wisely and protect Purdue’s resources while supporting the University’s commitment to innovation.
Types of Generative AI
Generative AI is a type of artificial intelligence that can generate new content — text, images, music, videos and even code — based on patterns it has learned from large amounts of data. Instead of just analyzing or classifying information, generative AI can create something entirely new. AI can boost productivity, but it must be used responsibly to protect academic integrity, data security and Purdue’s standards.
Large Language Models
One form of generative AI is the large language model (LLM). This type of generative AI focuses on understanding and generating human language. These models are trained on huge amounts of text data (books, articles, websites) to learn patterns, grammar and logic. Once trained, they can write emails, summarize text, answer questions, write code or even engage in conversation.
Generative Media Models
Generative media models are designed to create or synthesize nonlanguage content such as images, audio, video and 3D assets. These models rely on deep learning techniques — like generative adversarial networks, diffusion models and transformer-based models — to generate new, realistic content from prompts or input parameters.
Best practices in generative AI use
To optimize your results when using generative AI, consider the following best practices.
Faculty guidelines
How to uphold ethical generative AI standards in your classrooms:
- Enhance teaching and learning while upholding academic integrity
- Include the Purdue AI policy statement in all course syllabi
- Be transparent about AI use and encourage responsible usage
- Avoid AI-detection software as the sole method to verify integrity
- Refrain from primarily using AI tools for grading or exam creation without verification
Staff guidelines
Ways to incorporate generative AI into your workflow:
- Use AI to improve workflows and support informed decision making
- Prioritize data privacy, security and compliance with policies
- Verify AI-generated content for accuracy and reliability
- Be transparent and responsible when using AI tools
- Avoid inputting sensitive data, proprietary code or confidential files into AI systems
- Do not depend entirely on AI — apply human judgment and oversight
GENERATIVE AI TOOLKIT
Learn more about how Purdue’s collection of generative AI tools can support your academic and professional work.
Questions or ideas about AI at Purdue?
Connect with Kenny Wilson, director of artificial intelligence and automation.