Artificial Intelligence in Public Sector Governance: A Cross-Sectoral Approach to Enhancing Commercial Justice, Business Experience, and Health System Performance in Morocco

The adoption of Artificial Intelligence (AI) in public governance systems is a revolutionary prospect to the nation, especially emerging economies, such as Morocco, which can improve the provision of services and policy consistency and national performance. This paper examines the cross-sectoral implications of the adoption of AI in three important strands of governance, that of commercial justice, the business experience and health system performance. Providing a mixed methodology that incorporates quantitative data in the form of a survey of the $\mathbf{1 2 0}$ people to be surveyed, including individuals involved in the process of governance such as public administrators and professionals working in the field, as well as a qualitative approach, constituting 25 semi-structured interviews with professionals involved in the practice, the study will test the conceptual model that connects the introduction of AI to national performance indicators. Multivariate regression analysis indicates a high positive correlation $(\mathrm{R} 2=0.89)$, therefore, supporting the view that AI implementation in any industry has a significant effect on enhanced governance using better governance as a dependent variable. It is interesting to note that a coordinated cross-sectoral AI governance strategy is the most important factor $(\boldsymbol{\beta}=\mathbf{0. 3 0 1})$, and it results in the greatest gains. The study finds the imperative need of strategic, integrated approach to governance of AI in Morocco, without which the nation will never realize the full potential of its digital transformation with regard to nation-building through creating sustainable and resilient national development.