AI Governance in North Africa: An Ecosystems Approach

Artificial Intelligence (AI) holds transformative potential for North African societies, yet its development and deployment present complex ethical, social, and regulatory challenges within the region's diverse contexts. This paper examines the state of Artificial Intelligence (AI) governance in North Africa, focusing on Algeria, Egypt, Libya, Mauritania, Morocco, Sudan, and Tunisia. It analyses national AI strategies through thematic analysis of policy documents and situates them within the African Union's Continental AI Strategy (2024). Adopting an ecosystem approach, the study evaluates how social, economic, and institutional factors shape national capacities to develop AI that advances human flourishing. The findings reveal uneven policy maturity: Egypt demonstrates strong regional leadership, while countries such as Morocco and Sudan lack formal strategies. Although many national efforts reflect the AU's aspirations for ethical and inclusive AI-driven growth, geopolitical and infrastructural fragmentation limit sub-regional coordination. Despite these disparities, all countries express a shared ambition to leverage AI for development and innovation. Strengthening ecosystem components and embedding ethical governance remain essential for achieving equitable and context-sensitive AI governance across the region.

Authors

Publication Details

Journal
Repository@Nottingham (University of Nottingham)
Published
2025-12-23
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI Governance in North Africa: An Ecosystems Approach

George Ogoh, Bernd Stahl, Damian Eke
Repository@Nottingham (University of Nottingham)
Ethics and Social Impacts of AI
article

AI Governance in North Africa: An Ecosystems Approach

George Ogoh, Bernd Stahl, Damian Eke
article en

Abstract

Artificial Intelligence (AI) holds transformative potential for North African societies, yet its development and deployment present complex ethical, social, and regulatory challenges within the region's diverse contexts. This paper examines the state of Artificial Intelligence (AI) governance in North Africa, focusing on Algeria, Egypt, Libya, Mauritania, Morocco, Sudan, and Tunisia. It analyses national AI strategies through thematic analysis of policy documents and situates them within the African Union's Continental AI Strategy (2024). Adopting an ecosystem approach, the study evaluates how social, economic, and institutional factors shape national capacities to develop AI that advances human flourishing. The findings reveal uneven policy maturity: Egypt demonstrates strong regional leadership, while countries such as Morocco and Sudan lack formal strategies. Although many national efforts reflect the AU's aspirations for ethical and inclusive AI-driven growth, geopolitical and infrastructural fragmentation limit sub-regional coordination. Despite these disparities, all countries express a shared ambition to leverage AI for development and innovation. Strengthening ecosystem components and embedding ethical governance remain essential for achieving equitable and context-sensitive AI governance across the region.

Repository@Nottingham (University of Nottingham)
Openalex Percentile: Top 19%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI Governance in North Africa: An Ecosystems Approach — George Ogoh, Bernd Stahl, et al. · Repository@Nottingham (University of Nottingham) (2025) | TGRS Research Map | TGRS