The AI Assessment Scale (AIAS) was originally developed by Mike Perkins, Jasper Roe, Leon Furze and Jason MacVaugh in response to the rapid emergence of generative AI in education. The project began from a concern that students and educators needed a clearer, fairer and more practical basis for understanding when and how AI could be used in formative and summative tasks, and how these could be designed to account for the new GenAI reality. The AIAS has since been further developed through research, institutional implementation, sector feedback and international use.
First published in 2023 and revised through Version 2 and AIAS 2.1, the Scale gives students, educators, and institutions a shared vocabulary for AI in assessment. It supports academic integrity, but its main job is assessment redesign: lining up learning outcomes, task design, validity, marking criteria, and AI use so that a grade still means what it claims to mean.
The AIAS is used in more than 350 institutions worldwide and has been translated into more than 30 languages. It won the Bronze Award in the Learning Assessment category at the 2025 QS Reimagine Education Awards, while work on the framework was commended for the Prof. Tracey Bretag Prize for Academic Integrity in 2024 and shortlisted for the prize in 2025.
The AIAS is owned and maintained by Learning Innovation Practice Ltd, a research-informed consultancy set up to hold, develop and support the framework and to help institutions redesign assessment for the GenAI era. It is free to use on a non-commercial basis.
