Media, Artificial Intelligence, and Constitutional Governance: A Semantic Constitutional Intelligence Framework Integrating Big Data Analytics, Digital Semantics, Digital Heritage, and Intelligent Media Systems for AI-Assisted Constitution-Making

Abstract

The rapid advancement of artificial intelligence (AI), big data analytics, computational media, and intelligent information systems is fundamentally transforming governance, legal institutions, and democratic participation. While previous studies have primarily examined the application of AI in legal reasoning, judicial decision-making, and public administration, limited scholarly attention has been devoted to the role of intelligent media ecosystems in supporting constitutional design and constitution-making processes. This study addresses this gap by proposing a multidisciplinary framework that integrates media studies, constitutional governance, artificial intelligence, digital semantics, digital heritage, and data-driven policy analysis into a unified constitutional intelligence ecosystem. The paper argues that modern constitution-making should no longer rely exclusively on conventional legal deliberations or periodic public consultations. Instead, constitutional drafting can be enhanced through evidence-based approaches that combine large-scale public discourse analysis, computational media intelligence, semantic knowledge representation, and advanced machine learning techniques. By leveraging data generated through digital media platforms, governmental open data initiatives, parliamentary records, judicial decisions, historical constitutional archives, and public participation platforms, AI systems can assist constitutional committees in identifying emerging societal priorities, evaluating constitutional alternatives, detecting legal inconsistencies, and forecasting the potential implications of proposed constitutional provisions. To achieve these objectives, this research introduces the Semantic Constitutional Intelligence Framework (SCIF), a novel conceptual model that integrates Big Data Analytics, Natural Language Processing (NLP), Large Language Models (LLMs), Knowledge Graphs, Explainable Artificial Intelligence (XAI), Digital Semantics, and Digital Constitutional Heritage into a comprehensive constitutional decision-support architecture. The framework positions intelligent media systems as dynamic infrastructures capable of continuously collecting, organizing, interpreting, preserving, and analyzing constitutionally relevant information while ensuring transparency, accountability, and democratic legitimacy through human oversight. Furthermore, the study expands the concept of digital constitutional governance by introducing Digital Constitutional Heritage as an essential component of AI-assisted constitution-making. This concept emphasizes the preservation, digitization, semantic annotation, and computational analysis of historical constitutions, constitutional amendments, parliamentary debates, judicial precedents, governmental archives, and media documentation to establish a continuously evolving constitutional knowledge base. Simultaneously, Digital Semantics enables AI systems to understand legal meaning, contextual relationships, conceptual hierarchies, and constitutional terminology beyond traditional keyword-based analysis, thereby improving legal interpretation and constitutional consistency. Methodologically, the research adopts an interdisciplinary qualitative design supported by conceptual systems analysis, comparative constitutional analysis, computational media theory, and AI governance literature. International experiences from digitally advanced governance ecosystems-including Estonia, Singapore, Finland, Taiwan, the United Arab Emirates, and Iceland-are examined to identify emerging practices in digital participation, data-driven policymaking, and AI-supported governance. These cases provide valuable insights into how intelligent technologies may contribute to future constitutional innovation while respecting democratic values and legal accountability. The study concludes that AI should not replace constitutional legislators or democratic institutions but should function as an intelligent decision-support system capable of improving constitutional quality, public participation, policy coherence, and institutional transparency. The proposed SCIF framework demonstrates how intelligent media systems can transform constitution-making into a continuous, evidence-based, semantically enriched, and participatory governance process. The research contributes to the emerging fields of AI governance, computational constitutionalism, digital media studies, and constitutional informatics by establishing a new interdisciplinary foundation for AI-assisted constitutional development in the digital age.