OPERATIONALIZING ETHICAL AND REGULATORY STANDARDS THROUGH THE INTEGRATION OF ISO/IEC 42001 ON ARTIFICIAL INTELLIGENCE IN RISK-AWARE AUTONOMOUS NONCONVENTIONAL TECHNOLOGIES

Abstract

The accelerated development of artificial intelligence has introduced a growing disconnect between technological capabilities and the governance mechanisms required to manage them responsibly. While AI systems are increasingly deployed in critical domains, the lack of structured and unified governance approaches raises concerns related to accountability, transparency, and regulatory compliance.This paper proposes a conceptual and operational framework that integrates ISO/IEC 42001, as a management system standard for artificial intelligence, with the European Union Artificial Intelligence Act, which introduces a risk-based regulatory model. The objective is to move beyond theoretical principles and provide a structured approach for embedding ethical and regulatory requirements into the lifecycle of AI systems. The proposed solution is based on a layered governance model, designed to separate strategic decision-making from operational execution and real-time monitoring. In addition, a risk-based audit methodology is introduced to support continuous validation and early detection of deviations. The paper argues that the integration of management standards with regulatory frameworks creates a more coherent and actionable governance structure, particularly in the case of complex and adaptive AI systems. The approach contributes to the development of trustworthy AI by offering a practical pathway for aligning innovation with accountability.