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  Artificial intelligence is becoming an essential part of modern businesses, but managing AI systems responsibly requires more than technical expertise. Organizations need a structured approach to address risks, governance, transparency, security, and continual improvement. This is where an AI Management System (AIMS) becomes important. What Is an AI Management System? An AI Management System is a structured framework that helps an organization manage the development, deployment, use, and monitoring of AI systems responsibly. It establishes processes for identifying AI-related risks, defining responsibilities, maintaining documentation, evaluating impacts, and improving AI governance. ISO/IEC 42001 is the international standard specifically designed to provide requirements and guidance for establishing, implementing, maintaining, and continually improving an AIMS. It can be applied to organizations of different sizes and across industries that develop, provide, or use AI systems...

Artificial intelligence is becoming an important part of modern businesses, but managing AI systems responsibly requires a structured approach. An AI Management System (AIMS) helps organizations manage risks, improve governance, and ensure that AI is developed and used responsibly. ISO/IEC 42001 provides an internationally recognized framework for establishing, implementing, maintaining, and continually improving an AI Management System. What Is an AI Management System? An AI Management System is a structured set of policies, processes, controls, and responsibilities that help an organization manage its AI-related activities. It addresses areas such as AI risks, data management, transparency, accountability, security, and continual improvement. ISO 42001 follows a management-system approach, making it easier for organizations to integrate AI governance into their existing business processes. Steps to Build an AI Management System Using ISO 42001 1. Understand Your AI Environment Star...