Stanford
Center for Teaching and Learning

AIMES Library of Examples

Welcome to the AI Meets Education at Stanford (AIMES) Library of Examples

The examples here are all from Stanford faculty, lecturers, and instructors and have been incorporated into actual classes. They include a range of teaching artifacts: course policies, assignments, learning goals, in-class activities, teaching strategies, and more. These examples are meant to spark ideas and showcase a variety of approaches to teaching in a university setting during a time when generative AI exists. As with the AIMES project more broadly, this collection of examples does not represent any institutional position, either in favor or nor against generative AI, and examples illustrate approaches ranging from non-use of AI, to constrained use, to more extensive use. Your disciplinary conventions, learning goals, courses and curricula, ethical and critical considerations will all be important factors in your own instructional choices. Stanford Terms of Use apply. Please address questions and suggestions for additional examples to ctl-stanford@stanford.edu.

How to Use This Resource

Filter the examples below according to your interests and explore individual examples to find out more. 

  • By selecting among the radio buttons on the left, you can choose which kinds of examples to display on the page.
  • Within each filter category, scroll to reveal additional choices.
  • You can filter in just one category or in multiple categories.
  • When you find an example on the page that you would like to learn more about, click its title to open a page with more details (e.g., pedagogical highlights, instructor insights, course materials). 

Filter Categories

  • How is AI used in the resource? Filters indicate the instructional stance toward AI in the example
    • "AI Use is Assigned" - students are instructed to use AI for specific assignments or activities
    • "AI Use is Limited" - instructors constrain AI use to particular tasks or domains
    • "AI Use is Prohibited" - no AI use is allowed
  • What type of resource? Filters describe the kind of teaching artifact: Assessment, Assignment, Course Description, Course Policy, In-class Activity, Learning Goals
  • What disciplinary area? Filters describe these disciplinary groupings: Humanities/Arts, Professional, Science/Engineering, Social Science

Key Resources and Policies

As you consider what if any role generative AI will play in your teaching, please be aware of the following important policies and resources.

  • Stanford AI Playground: Allows Stanford instructors, TAs, students, staff, and others to safely try various AI models from a variety of developers. It is protected by single sign-on and all information stays within the Stanford environment. However, it is not suitable for use with any high-risk data.
  • Honor Code Policies: Instructors are encouraged to set and communicate their own course-based policies for AI use. Because instructors' course policies differ, Stanford-wide honor code guidance is simple and broad, as articulated by the Office of Community Standards. Unless the instructor indicates otherwise, AI use is treated similarly to assistance from another person, with substantial use to complete an assignment or exam prohibited and acknowledgment of any use of AI other than incidental required.
  • Plagiarism and AI Detection: No central tools are provided by Stanford. Detection tends to be plagued with false positives, false negatives, and ambiguous results. Instructors are only permitted to use detection tools with prior notice to students. Some disciplines and departments have their own specialized detection software. Instructors must take care not to violate FERPA and student privacy by sharing student work with unapproved software platforms.
  • Critical AI Literacy for Instructors: A self-paced professional development resource for instructors who are new to generative AI technology. Learn more and links to enroll.
  • Consultations: Center for Teaching and Learning staff are available to consult with instructors and TAs on their pedagogical plans, including those related to AI, and to adjusting methods to account for AI even if not used in their own courses. Request a CTL consultation.

General AI Teaching Strategies

For general strategies, read this short overview. It complements the educational approaches to AI in the examples featured here. You can also skip to sections with strategies for particular approaches to AI via the links below.

AI-Assigned
Strategies When Assigning AI Use
AI-Limited
Strategies When Limiting AI Use
AI-Prohibited
Strategies When Prohibiting AI Use

AI Examples from Stanford Instructors

Find examples of generative AI use, policies, assignments, and more from Stanford courses.