Description
Product Category: Step-by-Step Guides
Format: PowerPoint
A Step-by-Step Guide to Conducting AI Risk Assessments
AI projects come with inherent risks, ranging from model biases and data privacy concerns to compliance issues and system vulnerabilities. Conducting comprehensive risk assessments ensures that these risks are identified, evaluated, and mitigated before they impact the project or the organization. A structured AI risk assessment not only protects against potential legal, operational, and reputational harm but also improves the robustness and reliability of AI systems. Here is a step-by-step framework to identify, mitigate, and monitor risks throughout the AI lifecycle.
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