Without AI
Meaning: AI may not be used at any point during the task.
Example Instructions: You must demonstrate your core skills and knowledge independent of artificial intelligence tools.
AI Planning
Meaning: AI may be used for planning during pre-task completion activities only as directed by the course instructor.
Example Instructions: AI can be used for [your professor will list specific parts of the overall assignment/task]. AI cannot be used to produce content that will later be included in your final submission. Your final submission should show how you have developed and refined any insights from AI into your own ideas.
AI Limited
Meaning: AI may be used in a limited way to complete only specific aspects of the task as directed by the course instructor.
Example Instructions: AI is okay to assist with specific tasks such as [instructor to specify]. You must critically evaluate and modify any AI-generated content you use and be prepared to provide prompt outputs, draft versions, and other proof of evaluation and modification if requested.
AI Extensive
Meaning: AI may be used extensively to complete any element of the task as directed by the course instructor. The instructor may allow students to determine the extent of AI use at their discretion.
Example Instructions: AI can be used throughout your work either as you wish, or as specifically stated in the directions. Focus on directing AI to achieve your goals while demonstrating your critical thinking. Provide an attribution statement in your work to acknowledge which tool was used and for what purposes.
AI Exploration
Meaning: AI serves as both a subject of inquiry and a resource to enhance task completion as defined in the task instructions.
Example Instructions: Use AI creatively to solve the task, potentially co-designing new approaches with your instructor. Be sure to make clear which tools were used and for what purposes. Be prepared to provide prompt outputs, draft versions, and other proof of evaluation and modification if requested.
Documentation Requirements
Your professor has the right to ask you to provide additional documentation related to your work. What they ask depends on the task. Common examples may include:
- Disclosure statements such as those from the IBM Attribution Toolkit so that you are not violating our Academic Integrity policy.
- Copies of sources you used to demonstrate your thinking such as:
- Annotated articles or web pages
- Notes
- Outlines
- Drafts
- Copies of logs or conversations with generative AI tools including your prompt and the model’s output
- Reflections explaining how you evaluated the output of a generative AI tool
- Meetings with your professor to discuss your submissions
Accommodations through the Student Accessibility Services
The above Framework and language is not meant to supersede any accommodations. If you are having difficulty navigating what is acceptable, please talk with your instructor and/or the Student Accessibility Services for clarification.