Human-Centric AI Governance: An Adaptive Public International Law Framework for Ethical and Inclusive AI Regulation in Public Health.

Abstract

Artificial Intelligence (AI) is transforming public health, presenting both opportunities and ethical and legal challenges. This study adopts an interdisciplinary approach, integrating legal doctrinal analysis, public health ethics, AI governance scholarship and a scoping review of international legal instruments to evaluate and operationalize three core pillars: ethical accountability, regulatory adaptability and transparency. Through a scoping review of treaties, regional regulations and policy frameworks, the study maps jurisdictional gaps and proposes an adaptive public law framework that addresses critical shortcomings in existing AI governance models, such as the WHO's limited enforceability and the GDPR's rigid data-sharing rules. The framework introduces scalable, region-specific regulations to enhance interoperability while respecting local governance needs. Its human-centric design, modular regulation and accountability mechanisms ensure adaptability across diverse legal, cultural and health system contexts. Informed by case studies and a thematic synthesis of global best practices, this framework offers policymakers and practitioners a structured yet flexible approach to balancing AI-driven innovation with ethical imperatives, promoting equitable public health outcomes.