Cross-National AI Governance: A Delphi-Based Structural Model Using AMOS, EViews, and Ethics Assessment Tools

Abstract: This study develops a structural model for cross-national AI governance through the Delphi method and validation using AMOS and EViews. Analyzing expert inputs from the US, UK, EU, and Asia, we identify critical ethical, legal, and public trust factors influencing AI policy adoption. Using Delphi Manager, the AI Ethics Maturity Toolkit, and time-series projections, this research offers a framework to evaluate readiness and project governance trajectories. Keywords: AI Governance, Delphi Method, Structural Equation Modeling, EViews, AMOS, Ethics, Public Trust, Policy Forecasting, Cross-national Analysis