ETS Generative AI Hub
This webpage was last updated on June 28, 2024 and is subject to change.
What is Generative Artificial Intelligence (GenAI)?
GenAI is a branch of artificial intelligence that specializes in creating new content. It works by learning from vast amounts of information collected on the internet, applications or user input. It leverages complex algorithms (aka "models") to generate new content that reflects what it has learned.
GenAI has the potential to revolutionize the way we work and learn. USF welcomes innovation by exploring the exciting possibilities of GenAI tools, but there are important considerations and Guidelines for Responsible Use of Artificial Intelligence (AI) at USF when using these tools, including information security and data privacy, compliance, copyright, and academic integrity.
Key Factors To Consider When Using GenAI:
Get Started with GenAI
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ETS offers a suite of GenAI classes related to learning, teaching and administration. Register for training. |
Select a customizable syllabus statement to fit your course. |
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GenAI tools can support student learning in various ways and assist instructors too. Discover applications for employing (and resisting) GenAI in your classroom. |
If you would like to consult with an expert regarding how to incorporate or restrict GenAI in your curriculum or receive 1:1 training on a GenAI tool, please schedule a session with an ETS team member. |
Application Matrix
USF is cautiously and judiciously exploring Generative Artificial Intelligence (GenAI) as a means to improve its operations, increase productivity and support learning and instruction. While Gen AI can bring significant benefits, ill-conceived and rushed deployments may introduce risks to data privacy and security.
If you’re considering using Generative AI tools, you must follow the University's Technology Resources Appropriate Use Policy, Information Security Policy, and Guidelines for Responsible Use of Artificial Intelligence (AI) at USF. All technology and technology services must undergo a data privacy, security and technical evaluation as part of the New Technology Assessment process and you may submit your request using this form.
| Application Type | Overview | Examples | Availability | Highest Level Data Classification Allowed* |
| Academic and Instruction Applications | GenAI applications used for course content, etc. | Publicly-available (free and paid subscriptions) |
Public | |
| Enterprise Administered Applications | Applications that have undergone the New Technology Assessment process and are administered by USF. | USF-Administered | Internal | |
| AI chatbots | AI chatbots capable of generating text, audio and images. | Publicly-available (free and paid subscriptions) |
Public | |
| Administrative Applications | Applications used for productivity, such as summarization, categorization, analysis and content creation. | Publicly-available (free and paid subscriptions) |
Public | |
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*Any data above the permitted classification level must only be entered into GenAI tools that have been assessed and explicitly approved for such use by the CIO. Be mindful of FERPA and HIPAA-protected data. |
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Policies and Resources
- Compliance and Regulations for Generative AI, Adrian Snachez (LinkedIn Learning)
- Get Ready for Generative AI, Ashley Kennedy (LinkedIn Learning)
- Introduction to Prompt Engineering, Ronnie Sheer (LinkedIn Learning)
- Harvard University: Artificial Intelligence Online Resources
- Texas Tech University Libraries: Artificial Intelligence Tools for Research and Learning
- Temple University: A Faculty Guide to A.I.
- UC Berkeley: Understanding AI Writing Tools and Their Uses for Teaching and Learning
- UCLA: Guidance for the Use of Generative AI in Teaching and Learning
- University of Michigan: Generative Artificial Intelligence Guidance for Faculty/Instructors
For feedback and questions, please email ets@usfca.edu.