The accelerating integration of artificial intelligence (AI) into global migration governance presents profound challenges to the protection of human rights and the enforcement of jus cogens norms. This article proposes a comprehensive governance architecture to ensure that AI-assisted border systems operate in compliance with peremptory norms such as the prohibition of torture, discrimination, and refoulement. Building on the findings of preceding sections, the study synthesizes expert opinions through the Delphi method, evaluates the legal and technical feasibility of blockchain-based migrant identity systems, and advances the proposal for establishing a United Nations Digital Human Rights Court (UN-DHRC). The paper argues that a multi-stakeholder governance framework—incorporating states, international organizations, civil society actors, technology companies, and migrant communities—can reconcile state sovereignty with universal human rights obligations. It emphasizes the epistemological convergence of AI ethics and human rights law, highlighting the need to translate ethical principles such as fairness, transparency, and accountability into legally binding obligations. The proposed Digital Geneva Convention serves as the normative anchor for this convergence, enshrining minimum standards including transparency-by-design, the right to human review, prohibition of automated refoulement, and secure cross-border data management. Methodologically, the article advocates for interdisciplinary research that combines legal treaty analysis, algorithmic bias audits, and participatory action research with affected communities. Ultimately, the study contends that the legitimacy of AIassisted migration governance depends on embedding jus cogens norms into every stage of technological development and deployment, ensuring that advancements in border technology strengthen rather than erode the human dignity and rights of migrants in the digital age.
Abraham B. Bergman (Tue,) studied this question.