Evidence map›Paper›PMID 39113766›Full record

ArticleRoyal Society open science2024

Decolonizing global AI governance: assessment of the state of decolonized AI governance in Sub-Saharan Africa.

Gelan Ayana, Kokeb Dese, Hundessa Daba Nemomssa, Bontu Habtamu, Bruce Mellado, Kingsley Badu, Edmund Yamba, Sylvain Landry Faye, Moise Ondua, Dickson Nsagha and 2 more

Abstract read
In one paragraph

Article in Royal Society open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. African emergency care systems: AI-aware but not AI-ready.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Gelan AyanaSchool of Biomedical Engineering, Jimma University, Jimma, Ethiopia.
Kokeb DeseSchool of Biomedical Engineering, Jimma University, Jimma, Ethiopia.
Hundessa Daba NemomssaSchool of Biomedical Engineering, Jimma University, Jimma, Ethiopia.
Bontu HabtamuSchool of Biomedical Engineering, Jimma University, Jimma, Ethiopia.
Bruce MelladoThe University of the Witwatersrand, Private Bag 3, Johannesburg, Wits 2050, South Africa.
Kingsley BaduKwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Edmund YambaKwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Sylvain Landry FayeCheikh Anta Diop University, Avenue Cheikh Anta DIOP, Dakar SENEGAL.
Moise OnduaThe University Ngaoundere, PO Box 454, Ngaoundere. City, Adamawa Province, Cameroon.
Dickson NsaghaThe University of Buea, PO Box 63, Buea, South West Province, Cameroon.
Denis NkweteyimThe University of Buea, PO Box 63, Buea, South West Province, Cameroon.
Jude Dzevela KongArtificial Intelligence & Mathematical Modeling Lab (AIMM Lab), Dalla Lana School of Public Health, University of Toronto, 155 College St Room 500, Toronto, ON M5T 3M7.ORCID 0000-0002-7557-5672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global artificial intelligence (AI) governance must prioritize equity, embrace a decolonial mindset, and provide the Global South countries the authority to spearhead solution creation. Decolonization is crucial for dismantling Western-centric cognitive frameworks and mitigating biases. Integrating a decolonial approach to AI governance involves recognizing persistent colonial repercussions, leading to biases in AI solutions and disparities in AI access based on gender, race, geography, income and societal factors. This paradigm shift necessitates deliberate efforts to deconstruct imperial structures governing knowledge production, perpetuating global unequal resource access and biases. This research evaluates Sub-Saharan African progress in AI governance decolonization, focusing on indicators like AI governance institutions, national strategies, sovereignty prioritization, data protection regulations, and adherence to local data usage requirements. Results show limited progress, with only Rwanda notably responsive to decolonization among the ten countries evaluated; 80% are 'decolonization-aware', and one is 'decolonization-blind'. The paper provides a detailed analysis of each nation, offering recommendations for fostering decolonization, including stakeholder involvement, addressing inequalities, promoting ethical AI, supporting local innovation, building regional partnerships, capacity building, public awareness, and inclusive governance. This paper contributes to elucidating the challenges and opportunities associated with decolonization in SSA countries, thereby enriching the ongoing discourse on global AI governance.

Indexed as

artificial intelligencedecolonizationgovernance

Identifiers

PMID39113766
PMCPMC11303018

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.