Sep 2026· Law and World· Vol 12, pp. 7· 0 citations· 19 references
TL;DR
The article proposes a proportionate Azerbaijani Responsible AI Framework based on functional risk classification, impact assessment, documentation, meaningful human oversight, public-sector procurement controls, incident reporting, effective remedies and institutionally credible supervision and argues for regulatory interoperability with European and international models without mechanical institutional transplantation.
Abstract
Azerbaijan is moving from a general digital-development policy toward a distinct but still fragmented legal and institutional framework for artificial intelligence (AI). This article examines that transition through doctrinal legal research and functional comparative analysis. It evaluates constitutional and personal-data safeguards, the Artificial Intelligence Strategy for 2025–2028, national AI standards, digital-government infrastructure, regulatory experimentation, public-sector AI applications and the binding synthetic-media rules adopted in 2026. The article characterises the emerging model as strategy-led modularism: strategic direction, technical standards, institutional coordination and issue-specific legislation develop incrementally rather than through a single comprehensive AI statute. Comparison with the Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law and the European Union Artificial Intelligence Act identifies the principal gap as the absence of enforceable lifecycle duties for high-impact systems, particularly where AI affects individual rights or structures the exercise of public authority. The article proposes a proportionate Azerbaijani Responsible AI Framework based on functional risk classification, impact assessment, documentation, meaningful human oversight, public-sector procurement controls, incident reporting, effective remedies and institutionally credible supervision. It argues for regulatory interoperability with European and international models without mechanical institutional transplantation.
It is argued that a layered subsidiarity approach, with specific financing for capacity-building and technical standards that work across the board, is more likely to deliver effective global AI governance than calls for a binding treaty.
A. Ojuok, Julius Murumba, E. Micheni· East African Journal of Info...· 0 citations
The article examines the legal and institutional conditions under which artificial intelligence may be integrated into the activity of a national parliament without eroding the constitutional nature of legislative decision-making. Parliament is analysed in its dual capacity as a regulator of artificial intelligence and...
Odiljon Tojiyev· Innovative Research Journal...· 0 citations
India’s Educational AI governance problem is characterized by regulatory fragmentation rather than a complete absence of law, and the study proposes a normative, non-empirical Governance Matrix based on the consequences of AI use rather than fixed technology categories.
Anurag Yadav, Rais Ahmad· Artificial Intelligence in E...· 0 citations
Tanzania needs a context-aware, risk-based regulatory strategy that builds on current legal and institutional structures while incorporating AI-specific safeguards aligned with the risks of different AI applications to benefit from AI development while safeguarding fundamental rights and fostering responsible, safe, an...
Albert Andrew Kikuli· East African Journal of Law...· 0 citations
Artificial intelligence in public administration, education and other sensitive areas raises essential questions about fairness, transparency and the protection of fundamental rights. The article addresses a central question: how can AI be regulated in a way that respects human dignity and protects fundamental rights?...
Adriana-Iuliana Stancu· Athens Journal of Law· 0 citations
This article analyzes the level of strategic competitiveness of the European Union and the United States in the development of artificial intelligence based on three key factors determining the development of this technology: the availability of human capital, the regulatory environment, and access to data. The analysi...
Robert Lizak· Kortowski Przegląd Prawniczy· 0 citations
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