Teaching & Learning
- Hope College does not set a single university-wide rule for student use of AI in coursework and assignments in the provided sources
- Instead, faculty are required to decide how AI may be used in their courses and explain that policy and rationale to students in the syllabus and verbally
AI Course Policy
Beginning May Term 2026, all faculty are required to have given thought to the use of AI in their course and to communicate this and their reasoning to students both verbally and in the syllabus.
This framework uses a simple color-coded system to communicate your AI policies clearly to students.
Research
- Hope College's data-classification rules apply to AI use with research data
- Protected data may not be used with any AI tool; confidential and internal data may only be used with Google Gemini for Education or Claude by Anthropic when accessed through a Hope College institutional account administered by CIT; public data may be used with any AI tool
Hope College requirements to protect data extend to all areas of artificial intelligence (AI). AI tools that are free and/or are not licensed by Hope College in an enterprise manner have the potential to expose this data to both current and future unintended uses. The contracts and business models for AI tools are complex, requiring consideration and analysis beyond what is necessary for non-AI services. Excluding data from training is not, on its own, sufficient; many other protections must be ensured.
While all aspects of this document apply universally to both AI and non-AI situations, for the purpose of clarity:
* Protected data may not be used with any AI tool.
* Google Gemini for Education and Claude by Anthropic are the only AI tools that may be used with Confidential and Internal data, but only when Gemini for Education or Claude by Anthropic is accessed using a Hope College account enrolled in an institutional team/enterprise plan administered by CIT.
* Public data may be used with any AI tool.
Academic Integrity
Institutional & Administrative
- Hope College provides a collection of generative AI resources constructed by a digital instruction specialist to help faculty learn about the capabilities of AI in teaching and learning
The digital instruction specialist has constructed this collection of resources related to generative AI in order to help faculty learn about the capabilities of the technology in connection to teaching and learning.
- Hope College has explicit AI data-protection rules
- The guidelines also state that uncontracted or unvetted services, and AI tools not explicitly named in the document, can only be used for public data
- Protected data is prohibited in any AI tool; confidential and internal data may only be used with Google Gemini for Education or Claude by Anthropic through a Hope College institutional enterprise/team account administered by CIT; public data may be used with any AI tool
Artificial intelligence tools that are not explicitly named in this document | Can only be used for Public
Any location/service that has not been contracted by Hope College and vetted by a qualified Hope College employee to ensure security, privacy and compliance | Can only be used for Public
Hope College requirements to protect data extend to all areas of artificial intelligence (AI). AI tools that are free and/or are not licensed by Hope College in an enterprise manner have the potential to expose this data to both current and future unintended uses. The contracts and business models for AI tools are complex, requiring consideration and analysis beyond what is necessary for non-AI services. Excluding data from training is not, on its own, sufficient; many other protections must be ensured.
While all aspects of this document apply universally to both AI and non-AI situations, for the purpose of clarity:
* Protected data may not be used with any AI tool.
* Google Gemini for Education and Claude by Anthropic are the only AI tools that may be used with Confidential and Internal data, but only when Gemini for Education or Claude by Anthropic is accessed using a Hope College account enrolled in an institutional team/enterprise plan administered by CIT.
* Public data may be used with any AI tool.
- Hope College has identifiable AI governance activity through approved guidance and task-force-developed resources
- The sources show Generative AI Policy Guidance approved by AcAB, an Academic AI Taskforce/Task Force that developed an AI Traffic Light Model and compiled a campus resource guide, but they do not provide a broader institutional AI strategy or roadmap in the provided text
Generative AI Policy Guidance (approved by AcAB, fall 2023)
AI Traffic Light Model (developed by the Academic AI Taskforce, Fall 2025)
This framework uses a simple color-coded system to communicate your AI policies clearly to students.
For additional AI resources, including policy examples, please visit the Campus & Consortium Resource Guide (compiled by the Academic AI Task Force in spring 2026) or contact the Center for Teaching and Learning at ctl@hope.edu.
Recently Approved Documents
Generative AI Policy Guidance
September 2023
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Hope College's AI Policies
Hope College has defined AI policies in 5 of 12 categories, with an overall coverage score of 42%.
No explicit disclosure requirement is currently defined in the available policy sources.
No explicit detection or enforcement process is currently defined in the available policy sources.
Hope College has explicit AI data-protection rules. Protected data is prohibited in any AI tool; confidential and internal data may only be used with Google Gemini for Education or Claude by Anthropic through a Hope College institutional enterprise/team account administered by CIT; public data may be used with any AI tool. The guidelines also state that uncontracted or unvetted services, and AI tools not explicitly named in the document, can only be used for public data.