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VOL. 11, ISSUE 1 (2026)
AI governance and the rule of law: Challenges and pathways for responsible ai regulation
Authors
Pooja Kisan Bhosale, Dr. Mannalal R Pandiya, Dr. Vijay Sahadeo Chavan
Abstract
Artificial Intelligence (AI) governance is an
evolving, complex framework comprising legal, ethical, and policy principles
aimed at ensuring that AI technologies are developed and deployed
transparently, ethically, and with accountability. At the core of effective AI
governance lies the Rule of Law, a fundamental democratic principle that
mandates legality, fairness, respect for human rights, and democratic oversight
in governing AI’s social and economic impacts. This paper explores the
intricate relationship between AI governance and the Rule of Law, emphasizing
the critical challenges posed by AI systems—including accountability in
automated decision-making, transparency and explainability of algorithms,
mitigation of algorithmic bias, and protection of data privacy. It assesses
prominent global regulatory and policy frameworks, notably the European Union’s
AI Act and the OECD AI Principles, which are shaping AI governance in alignment
with Rule of Law principles. Furthermore, the paper discusses emerging governance
strategies reflecting multi-stakeholder collaboration that integrates legal,
ethical, and technical perspectives. Particular attention is given to
sector-specific applications such as criminal justice, healthcare, and finance
to illuminate practical implications and governance challenges. The paper
concludes by advocating for adaptive and inclusive AI governance models that
uphold constitutional imperatives and societal values, balancing innovation
with the necessity of protecting individual rights, equality, and justice in an
AI-driven world.
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Pages:1-4
How to cite this article:
Pooja Kisan Bhosale, Dr. Mannalal R Pandiya, Dr. Vijay Sahadeo Chavan "AI governance and the rule of law: Challenges and pathways for responsible ai regulation". National Journal of Multidisciplinary Research and Development, Vol 11, Issue 1, 2026, Pages 1-4
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