This is an interactive component, you can click on different AI Policies
🚫
No AI
Traditional learning environment
📝
Limited AI
Basic grammar & translation help
🧭
Guided AI
Faculty-controlled prompts
💬
AI Feedback
Suggestions with student agency
👥
Collaborative AI
Group & peer integrations
🔄
Comprehensive AI
Full access to AI
🚫
No AI
Traditional learning environment
Typical Use Cases
Learning to Write
Key Toggles
No AI Access
Student Benefits
Development of core writing skills without AI dependency. Focus on independent critical thinking and composition skills.
Educator Considerations
Traditional assessment methods remain valid. No need to redesign assignments for AI era. Simpler plagiarism detection.
AI Policy Comparison
Policy Preset
Typical Use Cases
Key Toggles
AI Integration Level
No AI
Learning to Write
No AI Access
Limited AI
ESL support
AI suggestions confined to grammar or translation edits
Guided AI
Ideation, outlines
Faculty‑authored prompt library
AI Feedback
Senior‑level drafts
AI suggests improvements; students accept/reject
Collaborative AI
Group projects
Real-time collaboration, and peer feedback
Comprehensive AI Integration
Capstones, exec MBA
Full AI access & rubric alignment
Why This Matters
Schools are increasingly seeking AI policies that balance academic integrity with AI literacy. However, many administrators remain hesitant to draft these policies, unsure how to make them practical and enforceable. Most institutions discover quickly that a single, one‑size‑fits‑all rule cannot work. In EDUCAUSE’s 2024 AI Landscape Study, over 900 higher-ed leaders reported major disagreements on AI policy across different school departments.
In this post, we’ll explore the current approaches schools are taking and share a Step by Step Playbook for implementing effective AI policies in your classroom.
Two Common Blanket AI Policies for Schools
Approach
Why it Fails in Practice
Total Prohibition on AI
AI is so easily accessible that enforcing a total ban is impractical. This approach drives AI use underground, makes it harder to monitor or guide students, and leaves them unprepared to use it responsibly in the real world.
All-in on AI
Overreliance on AI leads students to outsource core thinking, eroding foundational skills and making it difficult for faculty to trust what grades actually represent.
Step by Step Playbook for Setting AI Policy
Step 1.
Consider differences between departments. Each one has its own goals and assignment needs. Below, we explain three types of school departments and what they typically require.
Department Family
Typical Focus
Top AI Concern
Rumi Feature Addressing The Concern
Humanities & Social Sciences
Original interpretation, critical voice
Essays lose authentic voice
Authorship Analytics and revision history access.
Business & Professional Studies
Case work, teamwork
Students outsource problem‑solving
Collaborative Workspaces tracks each author's contribution.
Science, Technology, Engineering, and Math (STEM)
Methodology, quantitative rigor
Skipping foundational calculations
Custom AI prompt access with controlled AI usage
Step 2.
Start with the learning objectives. Ask yourself: What is the main skill or concept I want to focus on for a particular assignment?
Step 3.
Select one of the existing AI policies in Rumi, or combine multiple policies and settings to align with your learning goals. AI Policy presets give instructors a head start and help save time. Determine what type of AI assistance best supports the learning objectives, and choose the most appropriate AI policy. See below for examples and suggested rules.
Assignment
Appropriate AI Latitude
Rumi Controls
Example 1: Practice foundational narrative techniques in academic writing
Little‑to‑no AI
Revision History shows faculty every keystroke draft
Example 2: Develop creative strategies for a marketing campaign
Guided AI
Preset Prompts + stored prompt log
Example 3: Design a quantitative study in graduate-level psychology
Comprehensive AI
Open AI Prompts + AI Feedback + originality analytics
Learn how Rumi supports AI Literacy and Academic Integrity
