A scale to measure the decolonisation of artificial intelligence (AI) governance and other uses

The scale below appears in a research article by, and can be cited as:

Ayana, G., Dese, K., Daba Nemomssa, H., Habtamu, B., Mellado, B., Badu, K., Yamba, E., Faye, S. L., Ondua, M., Nsagha, D., Nkweteyim, D., & Kong, J. D. (2024). Decolonizing global AI governance: assessment of the state of decolonized AI governance in Sub-Saharan Africa. Royal Society Open Science, 11(8), 231994–16.

The scale used 5 rankings to determine the level of decolonisation of AI governance in selected African countries. The rankings are:

1. Decolonization-Resistant: Accepts AI governance colonization and does not do anything.
2. Decolonization-Blind: Ignore AI decolonization governance and do not do anything.
3. Decolonization-Aware: Acknowledge AI governance decolonization but do not work toward decolonization.
4. Decolonization-Responsive: Acknowledge and consider decolonization’s specific needs.
5. Decolonization-Transformative: Address the causes of decolonization and work to transform AI governance decolonization.

This scale can be applied in many other settings of research, education and practice.