Building Trustworthy AI Governance for Critical Infrastructure: Foundations of the European–African Governance Adaptation Framework (EA-AGAF)

Artificial Intelligence (AI) is rapidly transforming the governance of critical infrastructure by enabling intelligent decision-making, predictive analytics, automation, and operational optimisation across sectors including energy, healthcare, transportation, finance, telecommunications, and public administration. While these technologies offer significant opportunities for innovation and resilience, they also introduce complex governance challenges relating to accountability, transparency, cybersecurity, privacy, ethics, regulatory compliance, organisational capability, and public trust. Existing AI governance frameworks provide valuable principles and regulatory guidance but are frequently designed within specific institutional and legal contexts, limiting their direct applicability across regions with differing governance maturity and implementation capacities. This publication establishes the conceptual foundations of the European–African Governance Adaptation Framework (EA-AGAF), an adaptive governance approach that integrates internationally recognised principles of trustworthy Artificial Intelligence with context-sensitive implementation mechanisms suitable for diverse institutional environments. Drawing upon a comparative analysis of international AI governance initiatives—including those of the OECD, UNESCO, the European Union, the African Union, ISO/IEC, and NIST—the study examines the evolution of AI governance, the convergence of global governance principles, and the distinct governance trajectories of Europe and Africa. The analysis further explores the growing integration of AI governance with cybersecurity governance, digital resilience, enterprise governance, and critical infrastructure protection. The publication argues that effective AI governance depends not solely on regulatory sophistication but on organisations' ability to adapt governance principles to their institutional realities while strengthening governance maturity, cybersecurity capability, organisational resilience, and continuous learning. On this basis, the study introduces the conceptual philosophy, design principles, governance domains, implementation cycle, strategic outcomes, and research roadmap of the European–African Governance Adaptation Framework. Rather than replacing existing governance frameworks, EA-AGAF is proposed as a complementary governance model that facilitates the adaptive implementation of internationally recognised AI governance principles across different governance ecosystems. As the inaugural volume of the EA-AGAF Research Series, this publication provides the theoretical and conceptual foundation for a broader programme of research that will develop governance architecture, maturity assessment models, implementation methodologies, sector-specific applications, and empirical validation studies. The work contributes to the growing body of scholarship on trustworthy Artificial Intelligence by advancing adaptive governance as a practical strategy for strengthening cybersecurity governance, digital resilience, and responsible AI deployment within critical infrastructure.