shaping the future

Generative AI at Purdue University

Explore best practices for leveraging AI while safeguarding university assets and upholding Purdue’s commitment to technology advancement and innovation.

ABOUT GENAI

What is Generative AI?

Generative AI refers to artificial intelligence systems that can generate new content — like text, images, music, videos, and even code — based on the data they’ve been trained on.

TYPES OF GENERATIVE AI

Large Language Models (LLMs)

LLMs are a specific type of generative AI that focus on understanding and generating human-like text. They are trained on huge amounts of text data (books, articles, websites) and learn patterns, grammar, and logic. Once trained, they can write emails, summarize text, answer questions, code, or even have conversations.

EXAMPLES
Gemini
ChatGPT
LLoMA
Claude

Generative Media Models

Generative media AI models are artificial intelligence systems designed to create or synthesize non-text media content such as images, audio, video, and 3D assets. These models rely on deep learning techniques—like Generative Adversarial Networks (GANs), diffusion models and transformer based models—to generate new, realistic content from prompts or input parameters.

EXAMPLES
DALL-E
AIVA
Genstudio

Instead of just analyzing or classifying information, GenAI can create something entirely new. While AI can enhance productivity, responsible and ethical use is essential to maintain academic integrity, data security, and institutional standards.

BEST PRACTICES

What are the best practices in generative AI use?

If your organization wants to implement generative AI solutions, consider the following best practices to enhance your efforts.

AI should enhance human capabilities, not replace them. It can help streamline tasks, generate insights, and automate workflows. However, human oversight is essential for ethical, creative, and critical thinking. AI should be utilized as a collaborator.

AI-generated content should be disclosed to maintain integrity and avoid misrepresentation. Protecting data privacy is crucial, requiring strong security measures and compliance with Purdue University policies.

AI improves efficiency but requires fact-checking to ensure accuracy. Cross-referencing sources prevents misinformation. Refining prompts helps generate precise, relevant responses, maximizing productivity while maintaining quality.

AI evolves rapidly, making continuous learning essential. Staying updated on advancements, best practices, and ethical considerations ensures responsible and effective use of AI.

EXPLore your role

Faculty Guidelines

How to uphold ethical GenAI standards in your classroom

Yes

Enhance teaching and learning while upholding academic integrity

Yes

Include AI Policy statement in all course syllabi

Yes

Be transparent about AI use and encourage responsible usage

No

Avoid AI-detection software as the sole method to verify integrity

No

Refrain from primarily using AI tools for grading or exam creation without verification

Staff Guidelines

Ways to incorporate GenAI into your workflow

Yes

Leverage AI to improve workflows and support informed decision-making

Yes

Prioritize data privacy, security, and compliance with policies

Yes

Verify AI-generated content for accuracy and reliability

Yes

Be transparent and responsible when using AI tools

No

Avoid inputting sensitive data, proprietary code, or confidential files into AI systems

No

Do not depend entirely on AI—apply human judgment and oversight

AI TOOLKIT

Generative AI

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GenAI Studio — Purdue’s conversational AI hosted on-premise

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Copilot — Microsoft’s conversational AI
(available for Purdue faculty, staff, and students with data protection)

  • ChatGPT — OpenAI’s conversational AI
  • Claude — Anthropic’s chatbot
  • Gemini — Google’s conversational AI
  • NotebookLM – an AI-powered research and note-taking tool
  • Perplexity — Conversational search and answer generation

Teaching & Learning

  • Scite  — Better discover and understand research articles
  • Khanmigo (Khan Academy) — Digital tutor to help with learning
  • Quizizz AI — Quiz and activity generator
  • Socratic — Solving math, science, and literature problems
  • Curipod — Generates interactive classroom presentations and lessons
  • MagicSchool.ai — Lesson planning and rubric creation for teachers

Video Generation

  • Pika Labs — Text-to-video AI
  • Sora — OpenAI’s video generator


Writing

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GenAI Studio — Purdue’s conversational AI hosted on-premise

  • Copilot — Microsoft’s conversational AI
  • ChatGPT — OpenAI’s conversational AI
  • Grammarly — Writing assistant and grammar checker

Image Generation

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GenAI Studio — Purdue’s conversational AI hosted on-premise

  • DALL·E (OpenAI) — Text-to-image generation
  • Canva AI— Quick design and image generation

Meeting Assistant

  • Otter.ai – AI-powered transcription and meeting summaries with speaker identification, searchable transcripts, and live note-taking for Zoom, Google Meet, and Microsoft Teams.
  • Fireflies – AI meeting assistant that records, transcribes, summarizes, and analyzes meetings.
  • Copilot – Microsoft’s AI-powered assistant that provides real-time meeting summaries, action items, and key highlights directly within Microsoft Teams and other Microsoft 365 applications
  • Teams Premium – AI-generated summaries, intelligent recap, personalized highlights, and live translations for multilingual meetings.
  • Zoom AI Companion – AI-powered meeting assistant for Zoom that generates summaries, highlights action points, and allows users to ask follow-up questions about the meeting.
  • Sembly AI – AI-driven transcription and analysis tool that provides sentiment analysis, task tracking, and team insights from meetings across Zoom, Microsoft Teams, and Google Meet.

Contact & Support

Kenneth Wilson

Director of Artificial Intelligence (AI) and Automation
ken@purdue.edu

Aanis Ahmad

Senior Artificial Intelligence Engineer
ahmad31@purdue.edu