Skip to article frontmatterSkip to article content
Site not loading correctly?

This may be due to an incorrect BASE_URL configuration. See the MyST Documentation for reference.

A simple grid that makes you check, for every group affected by a technology, how it touches their wellbeing, autonomy and fairness, so you can weigh the concerns openly.

Websitehttps://foodethicscouncil.org/resource/ethical-matrix/
Developed byBen Mepham (Centre for Applied Bioethics, University of Nottingham), Food Ethics Council (1996)
TypeFramework: Grid for structured group deliberation, with free guide and manual
Lifecycle phaseDesign
FUTURE-AIFairness, General recommendations
ForResearchers, Policy makers and managers, Healthcare professionals, Patients and communities
FacilitationFacilitator recommended
Skills needednone
CostFree
LanguagesEnglish
MaturityEstablished
LicenceNo licence stated; free-to-download guide, all rights reserved

What it is

The rows of the matrix list the parties affected by a decision and the columns list three principles: wellbeing, autonomy and fairness. You fill each cell with the specific concern for that party, then discuss and weigh the cells as a group. The method borrows from principle-based medical ethics and was first applied to food and agricultural technologies, but it works for any new technology. It does not give you an answer; it makes the range of concerns and the way you weigh them explicit.

In healthcare

Kelly et al. (2023) used an ethical matrix workshop, co-designed with a patient expert, to involve people with multiple sclerosis, radiologists, neurologists and computer scientists in research on AI in radiology.

Where to use it in The ELSA Way

References

Also listed in: RAAIT toolbox.

References
  1. Mepham, B. (2000). A Framework for the Ethical Analysis of Novel Foods: The Ethical Matrix. Journal of Agricultural and Environmental Ethics, 12(2), 165–176. 10.1023/a:1009542714497
  2. Kelly, B. S., Kirwan, A., Quinn, M. S., Kelly, A. M., Mathur, P., Lawlor, A., & Killeen, R. P. (2023). The ethical matrix as a method for involving people living with disease and the wider public (PPI) in near-term artificial intelligence research. Radiography, 29, S103–S111. 10.1016/j.radi.2023.03.009