How to Conduct an AI Risk Assessment Using ISO 42001
Artificial intelligence is transforming industries by improving efficiency, automation, and decision-making. However, AI systems also introduce risks related to privacy, security, bias, compliance, and transparency. Conducting an AI risk assessment is essential for organizations that want to deploy AI responsibly. ISO 42001 provides a structured framework for identifying, evaluating, and managing these risks through an artificial intelligence management system (AIMS). Understand the Scope of the AI System The first step is to define the AI system being assessed. Identify its purpose, intended users, data sources, stakeholders, and business objectives. Understanding the scope helps organizations determine where risks may arise throughout the AI lifecycle, from development to deployment and monitoring. Identify Potential AI Risks Next, list all possible risks associated with the AI system. Common AI risks include: Bias and discrimination in AI decisions Data privacy and security co...