Documenting and explaining how the model makes decisions is crucial for accountability and transparency in responsible AI. This practice allows users and stakeholders to understand the AI system's behavior, fostering trust and enabling oversight.
Simply increasing data size, obfuscating the model, or implementing complex algorithms without explanation do not promote understanding or accountability.
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Microsoft Azure AI Fundamentals AI-900
Describe features of generative AI workloads on Azure
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