Resources
Go deeper with FRAME.
The book, the course, and the podcast — plus everything you need to apply, share, and cite the framework.
the book
Where FRAME was first published
From Algorithms to Evidence: Using Generative AI in Evaluation Practice, edited by Kerry Bruce, Valentine J. Gandhi, and Steffen Bohni Nielsen (Routledge). FRAME is presented in Chapter 33 and synthesises cases from across the volume.
The chapter sets out the five principles, maps them onto the seven evaluation phases, and introduces the checklist in full.
Learn & listen
Put the framework into practice
AI for MEL e-learning
The AI for MEL course
The Development CAFE’s course integrates artificial intelligence into monitoring, evaluation, and learning, and has reached practitioners across many countries. FRAME grew directly out of questions raised by course participants.
EvalEdge Podcast
Conversations on the cutting edge of evaluation
Conversations with practitioners about evaluation practice today — including how teams are using AI responsibly in the field.
downloads
Take FRAME with you
The FRAME checklist
All 37 checkpoints — fill it in online, then print or export to Word.
Principles & phases poster
A one-sheet summary of the five principles and seven phases.
HOW TO CITE FRAME
Gandhi, V. J., Bruce, K., & Nielsen, S. B. (2027). FRAME: A practical framework for responsible AI in monitoring and evaluation. In K. Bruce, V. J. Gandhi, & S. B. Nielsen (Eds.), From algorithms to evidence: Using generative AI in evaluation practice. Routledge.
Ready to apply FRAME to your next evaluation?
Download the FRAME checklist, or enrol in the AI for MEL course to put the framework into practice.