ChatGPT and AI Support
What is Generative AI?
Generative Artificial Intelligence (Gen AI) is a subset of Artificial Intelligence that has been trained by hundreds of millions of data points from society, including text, art, music, and more. Generative AI focuses on creating new content, using similar characteristics to the data it has been trained on. Generative AI has the ability to create human-like content, often indistinguishable from human-created content.
Examples of Generative AI tools include:
- ChatGPT
- Google Gemini
- Bing Image Creator
- Suno
- and more
Categories of Generative AI at the University
At the University, we consider three categories of Generative AI tools:
- Free Tools: Any free version of an AI tool (e.g. Free ChatGPT)
- Non-Enterprise (Paid Tools): Pro versions of AI tools, not supplied by the university (e.g. Paying for ChatGPT 4.0)
- Enterprise Tools: AI tools provided by the university (e.g. ChatGPT Enterprise)
What tools are available for you?
At the university, you are allowed to use any free, non-enterprise (paid), and enterprise AI tools, as long as you are following ITS policies and procedures. The only tool the university provides at this moment is ChatGPT Enterprise via the Open AI Challenge. All faculty and staff can apply for one of our 1,000 ChatGPT Enterprise Licenses per semester.
What is ChatGPT Enterprise?
ChatGPT Enterprise is a version of OpenAI's ChatGPT specifically tailored for businesses. It offers enhanced features and capabilities designed to meet the needs of organizations, including higher levels of security, privacy, and administrative controls. Use cases for the university include custom GPTs for:
- Data Analysis
- Educational support in classes (e.g. tutor, etc.)
- Chatbot
- And more
How can I gain access to ChatGPT Enterprise?
All faculty and staff can apply for one of our 1,000 ChatGPT Enterprise Licenses per semester. When approved, faculty will be added to our enterprise environment, having the ability to sign in to the enterprise system through a secure SSO. Faculty and staff will only be able to access the enterprise system by using a UNO email address; if you do not have a ChatGPT account with your uno email address, you can complete one before or wait for access.
Data Classifications Risk
The university system identifies risk in three categories: low, medium, and high. To understand and ensure all faculty, staff and students understand what is expected of them when utilizing AI tools and protecting the university, we highly recommend all faculty, staff, and students complete the Generative AI Cybersecurity Training. Below is a table explaining what the different risk classifications are and examples of what they are:
| Risk Classification | Explanation |
|---|---|
|
Low |
Low-risk data can be used in free, non-enterprise, and enterprise tools. Low-risk data includes any data that can generally be made available to the public without harm to the University or those affiliated with the university. |
|
Medium |
Medium risk data cannot be used in free or non-enterprise tools, but can be used in enterprise tools with additional approval. Medium risk data includes information not legally available to the public with moderate adverse impacts. |
|
High |
High-risk data cannot be used in any free, paid, or enterprise tool. High-risk data includes information that is confidential, restricted, or sensitive and protection of information that is required by law. |
For more information and examples of low, medium and high risk data, check out the ITS Risk Classification website. To ensure you’re always following security protocols and procedures, we recommend completing the Risk Classification Self-Assessment Tool
Trainings and Support
The AI Learning Lab offers various other resources and opportunities for faculty and staff, including the AI Campus Consortium, AI-Powered Teaching Grants, and more:
Resources
- AI Support (Resources, workshops, professional development opportunities and AI-Powered teaching grants)
- AI Prompt Book (Prompts and example output for student use, AI in the classroom, and AI to work more efficiently)
- Developing a syllabus statement that works for you
- Evaluating Assessments in the World of AI
- Why not to use Detection Tools
- How to Cite AI Tools
- AI for Students: Policies, Responsible Use, and Practical Applications Canvas Page (Available in Canvas Commons)
Trainings
- AI Jumpstart: Learning and Exploring with Generative AI (One Canvas module, 3–5 hours)
- AI Advantage: Transforming Teaching and Preparing Students to Thrive (6-week Canvas course, available for faculty and staff)
- Generative AI Cybersecurity Awareness Training (Highly recommended for all faculty, staff, and students)
- Introduction to OpenAI, ChatGPT Enterprise, & Prompt Engineering
- Getting the Most out of ChatGPT
- Prompt Engineering Best Practices
Other AI Learning Lab Opportunities
The AI Learning Lab offers the following opportunities:
- AI-Powered Teaching Grants (Work with an instructional designer to integrate generative AI into your course)
- Open AI Challenge (Submit a proposal to gain access to one of our 1,000 ChatGPT enterprise licenses)
- AI Campus-Consortium (Interdisciplinary committee helping lead the AI approach on campus)
- AI-Powered Educator Program (Earn a badge demonstrating AI skills and involvement on campus)
- AI Summit (Present your experience with AI in Course and/or work in Spring 2025)