ISO/IEC 42001:2023 is the first international management system standard (MSS) designed explicitly for Artificial Intelligence (AI).
It sets requirements and guidance for organizations to manage AI systems responsibly, focusing on risk management, transparency, ethics, governance, and continual improvement.
AI risk management policy and framework refers to the structured set of guidelines and practices an organization adopts to responsibly govern the design, deployment, and use of artificial intelligence systems. The principles, roles, responsibilities, and rules of an AI risk management policy ensure the ethical, legal, and safe use of AI technologies. This includes addressing concerns like bias in algorithms, privacy violations, black-box decision-making, and compliance with global regulations such as the EU AI Act or NIST AI RMF. The policy sets the foundation for governance, approval processes, acceptable use, accountability, and incident response, aiming to reduce reputational and legal risks while promoting trustworthy AI.
The AI Risk Management Framework, on the other hand, is the practical structure that enables organizations to implement the policy effectively. It typically consists of key steps such as risk identification, assessment, mitigation, monitoring, and compliance tracking. Organizations use this framework to detect threats throughout the AI lifecycle—from model training to real-world deployment—such as data leakage, unfair outcomes, or unintended behavior. Through tools like impact scoring, bias audits, and continuous monitoring dashboards, the framework ensures AI systems align with organizational values and societal expectations. Together, the policy and framework support transparent, secure, and responsible AI innovation.
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Everything you need to know about ISO 42001-AI Management System Certifications
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