AIUL License Tags

The AI Usage License (AIUL) framework includes six primary license tags, each representing a different level of permitted AI usage. These tags can be combined with optional media-specific suffixes to provide additional clarity for different types of assignments.

Primary License Tags

Tag Description Example Use Case
AIUL-NA (Not Allowed) No AI tools allowed. All work must be entirely student-generated. Use this license for traditional exams, foundational skill-building exercises, and assignments where the development of specific techniques is the primary learning objective.
AIUL-WA (With Approval) Limited AI assistance is permitted only with instructor pre-approval. Use this license for assignments that are typically expected to be completed without AI assistance, but where exceptions may be appropriate for specific students or circumstances.
AIUL-CD (Conceptual Development) AI tools may be used for research and ideation, but the final work must be entirely student-generated. Use this license for research papers, creative briefs, project planning, and assignments where AI can help with background information but the execution should demonstrate student skills.
AIUL-TC (Transformative Collaboration) AI may be used as a collaborative tool, but outputs must be significantly transformed. Use this license for creative writing assignments, design drafts, prototyping, and assignments where AI can assist but significant human transformation is expected.
AIUL-DP (Directed Production) AI-assisted creation is permitted with clear direction and modification from the student. Use this license for visual arts, creative writing, and design assignments where AI can be used as a production tool guided by the student's creative vision.
AIUL-IU (Integrated Usage) AI usage is a required component of the assignment, with focus on sophisticated AI integration. Use this license for assignments specifically focused on AI tools, prompt engineering exercises, AI ethics discussions, and projects where AI usage itself is a learning objective.

Choosing Media-Specific Suffixes

Media-specific suffixes help clarify which types of AI tools are relevant to the assignment:

Suffix Description Example Use Cases
-WR (Writing) For assignments involving substantial written content Essays, research papers, creative writing, reports, scripts, poetry
-IM (Image) For assignments involving static visual content Photography, digital illustration, graphic design, posters, data visualization
-VD (Video) For assignments involving moving images Films, animations, motion graphics, video essays, promotional videos
-AU (Audio) For assignments focusing on sound design or music Music composition, podcast production, sound design, audio mixing, voice recording
-3D (3D Design) For assignments involving 3D modeling, animation, or virtual environments 3D modeling, game design, virtual reality, architectural visualization, character animation
-TR (Traditional Media) For assignments involving physical art media where AI might be used for planning or reference Painting, drawing, sculpture, printmaking, ceramics, textiles
-MX (Mixed Media) For assignments that span multiple media types Multimedia installations, websites, interactive experiences, transmedia projects
-CO (Code) For assignments involving programming or software development Software development, web applications, algorithms, data science scripts, computational art

If an assignment involves multiple media types but focuses primarily on one, you can use the primary media suffix. For more complex assignments, the -MX suffix is appropriate.

Examples of Combined Tags

Implementation Resources

For detailed implementation guidelines and syllabus language, please visit our Resources page. To determine the appropriate tag for your assignment, try our Tag Generator.