AI index for teachers

The AI index is a scale of five levels in the AI use by students and is based on the AIAS framework as originally developed by Mike Perkins. 

The AI index is available via intranet (for employees only, login required).

AI index (pdf)

What is part of this UU AI index?

SectionWhat you'll find there
Purpose of the AI indexWhat the AI index is, how educators apply it, and its basis in Mike Perkins' AIAS framework
Deployment of AI and pedagogical explanationsGuidance for educators on aligning AI use with learning objectives (Bloom's taxonomy)
Conditions of using AI tools in educationRules on equal access, opt-out rights in case the AI tool is not approved by the UU, assessment fairness, and responsible use
AI literacy EU AI Act requirements and links to the AI literacy modules for students and educators
The UU AI index The main table with the 5 levels (1 through 5), including requirements around AI statement/log per level
Use of AI in/about student workWhat you need to do per level regarding logbook, AI statement, and source citation
AI citation in common citation formatsExamples in APA, Chicago, and MLA
AI index supplement for studentsConcrete examples per level: what is generally allowed/not allowed. You as a teacher, or your faculty as a whole, may complement this list with examples that apply specifically in the context of the educational programme, course or asignment
Assessment of student worksHow differences in AI use should (not) affect grading
Enforcement and prompt log retention periodFraud procedures and how long prompt logs must be kept

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AI index for FSW

PS: A temporary exemption has been granted for the Faculty of Social and Behavioural Sciences (FSW) to test a variant of the AI index: the so-called FSW AI-index. It only applies to FSW students.

You are not allowed to create your own variants of the AI Index.

Documents on the AI index and how to apply it can be downloaded here. These are:

  1. The AI index table itself (pdf)
  2. The explanatory supplement for students (see the AI index table)
  3. The model AI disclosure statement
  4. The AI responsibility matrix containing the AI index values

Attention is drawn to the following:

  • With permitted use of AI (AI index 2 - 5), there should be no disparity in assessment may arise as a consequence of differences in the extent to which student applies or does not apply AI
  • Student cannot be required to apply AI (such as e.g. ChatGPT) that is not provided by UU from a secure environment or positively allow listed.
  • Student may decide on their own (ethical) volition not to apply AI even if it is thus permitted unless it is part of the learning objectives.