Artificial
Intelligence
Resource Guide
Generative artificial intelligence (GenAI) generates content based on prompts provided by users. The wide availability of GenAI systems and the ease and speed with which they can generate content raises important considerations for teaching and learning in higher ed. This resource provides instructors with suggestions and options for how to address AI use in their courses, plus links to additional resources.
Because the GenAI field is fast evolving, this resource will be continually updated. We welcome suggestions for additional resources and information.
Data Privacy
We recommend that instructors who teach with AI consider Microsoft Copilot with data protection, a web-based generative AI tool that protects any data entered into Copilot from being used to train the AI — but only if the user has first logged in with their UO credentials.
Students, faculty, and staff should visit microsoft365.com/copilot to access this service. For more information on using Microsoft Copilot for the web, please see the getting started page in the UO Service Portal.
If you're using other, less protected, AI platforms, remind students that they should avoid providing any personal or other sensitive data as part of AI prompts. Moreover, we advise that instructors consider making use of unsupported tools voluntary or include an opt-out alternative for students who do not want to create an account with an AI system. (See additional guidance on teaching with external vendor digital tools.)
Course Policies
We strongly encourage instructors to have an explicit policy about GenAI in their course syllabus, including any relevant distinctions between GenAI use (as process) and GenAI content (as product).
We also encourage instructors to reinforce their expectations in assignment instructions and in conversation with students.
The Teaching and Generative AI resource provides sample course policies that you can apply to your own course.
Teaching Ideas
Instructors are experimenting with a variety of ways to include use of GenAI systems in their courses. The Teaching and Generative AI resource provides ideas, including examples from UO instructors, on how to:
- Promote analysis and critical thinking
- Assist research and brainstorming
- Contribute to writing and revision
- Facilitate icebreakers
- Mitigate use of GenAI
Want more ideas for AI-informed assignments and activities? We have more available here.
Academic Integrity
The University of Oregon is home to a vibrant and diverse intellectual community. Creating a strong culture of academic integrity at UO is a collective, university-wide project. We are most likely to create a culture of academic integrity when we develop a shared understanding of what it is, how to support it, and what university resources we can draw on together.
These resources help define and provide suggestions on how to support academic integrity at UO.
► Academic Integrity at UO
► Communicating for Academic Integrity
► Designing Assessments for Academic Integrity
► Building a Culture of Academic Integrity at UO
Students
Detection Tool
Contact SCCS
Teaching and AI CAIT
The Teaching and AI Community Accelerating the Impact of Teaching will meet this year to consider the implications of AI for teaching and learning in higher education, and what strategies faculty and departments can adopt to address AI in their programs, curriculum, and courses. Areas of inquiry for the Teaching and AI CAIT group include:
- What are the implications of AI for teaching and learning in higher education?
- How can UO support faculty in addressing AI as part of their teaching?
- How can UO support students in addressing AI as part of their learning?
- What range of policies and procedures – at the course, departmental, and institutional levels – can support teaching and learning in the context of AI?
- What principles and strategies can guide faculty and departments in how they engage AI?
- What specific teaching approaches can faculty adopt to embrace, minimize, or prevent AI use in their courses?