Ermelinda Kanushi

Ermelinda Kanushi

AI Governance Researcher at University of Technology Nuremberg

Ermelinda Kanushi is an AI Governance Researcher at the University of Technology Nuremberg, Germany, and serves as the Co-Chair for the Balkans at EuroMedAI.

Research & Papers

Assessing AI Maturity in the South Mediterranean: Pathways for Capacity Building under the Global Digital Compact

November 2025

South Mediterranean countries face widening disparities in artificial intelligence (AI) capacity across compute, data governance, skills, adoption, and enabling strategies. Building on the United Nations Global Digital Compact (GDC) and the UN Secretary-General's report A/79/966 on innovative voluntary financing options for AI capacity-building, this chapter contextualizes regional readiness and proposes practical pathways to advance through AI maturity tiers.

Research ArticleArtificial IntelligenceGlobal Digital CompactCapacity BuildingAI GovernanceSouth MediterraneanAI ReadinessSustainable Development

EuroMedAI Submission to the First UN Global Dialogue on AI Governance

May 2026

EuroMedAI's written submission to the first UN Global Dialogue on AI Governance (Geneva, 6–7 July 2026). Drawing on our comparative assessment of AI capacity across nine South Mediterranean countries, the submission makes the case for closing the AI divide as a precondition for legitimate global governance, and sets out concrete proposals: a shared maturity-measurement method, a Minimum Irreducible Capacity floor, a Shared South-Med compute hub, and a Mediterranean AI Fund.

UN Global DialogueAI GovernanceResolution 79-325AI DivideCapacity BuildingEuro-MediterraneanInteroperabilityHuman Rights

Bridging the AI Divide: A Comparative Maturity Assessment of AI Capacity in the Southern Mediterranean

October 2025

This study applies a UN-inspired AI maturity framework (Tier 0–4) to nine South Mediterranean countries—Algeria, Egypt, Jordan, Lebanon, Libya, Morocco, Palestine, Syria, and Tunisia—combining Government AI Readiness Index scores, Open Data Inventory (ODIN) metrics, and OECD AI Capability Indicators to assess public-sector AI capacity. Results reveal a two-speed trajectory: Morocco, Egypt, and Jordan qualify as 'AI ready' (T2), while the remaining countries remain 'AI nascent' or 'experimenters' (T0–T1), constrained by limited compute, weak data governance, and modest AI-skilled workforces. The paper proposes national and regional policy recommendations—including costed AI strategies, shared compute infrastructure, and cross-border research on Arabic and low-resource languages—to help the region progress toward 'AI enabled' status while ensuring AI supports inclusive, rights-respecting development.

Research ReportAI CapacitySouthern MediterraneanAI DividePolicy FrameworkPublic SectorAI Governance