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From Data Governance to AI Governance in the CEMAC: Integrating AU Data Policy Framework and Data Justice

Domain:

digital infrastructure

Record type:

policy
Creator:
Fendji Ebongue Kedieng, Jean LouisNgounou, Charlie
Publisher:
Zenodo
Host:avatar

The digital revolution sweeping across Sub-Saharan Africa, including the Economic and Monetary Community of Central Africa (CEMAC), marks a transformative era with significant data generation and utilization. Advances in Artificial Intelligence (AI) and data-driven technologies promise economic growth, improved public services, and better quality of life. However, this rapid digital transformation necessitates robust data governance policies to manage data collection, storage, processing, and sharing, ensuring benefits while minimizing potential harms.

In CEMAC, particularly in Cameroon, the Central African Republic, and Gabon, effective data governance is crucial. The region's socio-political and economic diversity, along with its rich ethnic composition, presents unique challenges in managing data equitably. The African Union (AU) has established a comprehensive data policy framework to guide member states in leveraging data and AI technologies responsibly.[1]

Despite these efforts, the adoption of this framework within CEMAC is delayed. Some member states lack a basic regulatory framework for personal data, creating a critical governance gap that could hinder the equitable distribution of technology’s benefits and exacerbate inequalities. Principles of Data Justice are essential and should be integrated with the AU Data Policy Framework to ensure the digital revolution benefits all, particularly marginalized communities.


[1] https://au.int/sites/defaul…

Visit

doi.org

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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