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Ayana G, Dese K, Daba Nemomssa H, Habtamu B, Mellado B, Badu K, Yamba E, Faye SL, Ondua M, Nsagha D, Nkweteyim D, Kong JD. Decolonizing global AI governance: assessment of the state of decolonized AI governance in Sub-Saharan Africa. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231994. [PMID: 39113766 PMCID: PMC11303018 DOI: 10.1098/rsos.231994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/22/2024] [Indexed: 08/10/2024]
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.
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Affiliation(s)
- Gelan Ayana
- School of Biomedical Engineering, Jimma University, Jimma, Ethiopia
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Kokeb Dese
- School of Biomedical Engineering, Jimma University, Jimma, Ethiopia
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Hundessa Daba Nemomssa
- School of Biomedical Engineering, Jimma University, Jimma, Ethiopia
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Bontu Habtamu
- School of Biomedical Engineering, Jimma University, Jimma, Ethiopia
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Bruce Mellado
- The University of the Witwatersrand, Private Bag 3, Johannesburg, Wits 2050, South Africa
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Kingsley Badu
- Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Edmund Yamba
- Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Sylvain Landry Faye
- Cheikh Anta Diop University, Avenue Cheikh Anta DIOP, Dakar SENEGAL
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Moise Ondua
- The University Ngaoundere, PO Box 454, Ngaoundere. City, Adamawa Province, Cameroon
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Dickson Nsagha
- The University of Buea, PO Box 63, Buea, South West Province, Cameroon
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Denis Nkweteyim
- The University of Buea, PO Box 63, Buea, South West Province, Cameroon
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
| | - Jude Dzevela Kong
- Artificial Intelligence & Mathematical Modeling Lab (AIMM Lab), Dalla Lana School of Public Health, University of Toronto, 155 College St Room 500, Toronto, ON M5T 3M7
- Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Africa-Canada Artificial Intelligence & Data Innovation Consortium (ACADIC)
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Barthold C, Krawczyk V, Berti M, Priola V. Intersectionality on screen. A coloniality perspective to understand popular culture representations of intersecting oppressions at work. GENDER WORK AND ORGANIZATION 2022. [DOI: 10.1111/gwao.12886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Charles Barthold
- Faculty of Business and Law, Department for People and Organisations The Open University Business School Milton Keynes UK
| | - Victor Krawczyk
- School of Creative Industries University of South Australia Magill Campus Magill Australia
| | - Marco Berti
- Management Discipline Group UTS Business School University of Technology Sidney Sidney Australia
| | - Vincenza Priola
- Faculty of Business and Law, Department for People and Organisations The Open University Business School Milton Keynes UK
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Riad S, Jones D. Approaching intersectionality through metonymy: Coloniality and recursion at work. GENDER WORK AND ORGANIZATION 2022. [DOI: 10.1111/gwao.12828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sally Riad
- Victoria University of Wellington Wellington New Zealand
| | - Deborah Jones
- Victoria University of Wellington Wellington New Zealand
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