Microsoft Azure AI Fundamentals AI-900 Practice Question
Which statement best reflects responsible AI considerations for bias when using generative AI models in Azure OpenAI Service?
Generative AI models are inherently unbiased because they rely solely on mathematical algorithms, so human oversight is unnecessary.
Using Azure OpenAI content filters alone removes all bias from generated outputs, eliminating the need for additional red-team testing.
Generative AI models can inherit and amplify social biases present in their training data; developers should apply ongoing human-led monitoring, testing, and mitigation strategies.
Bias is only a concern during the pre-training phase; once a model is fine-tuned it can be deployed safely without further monitoring.
Generative AI models learn from massive text and image corpora that contain historical and social biases. Those biases can surface or even amplify in model outputs. Responsible AI guidance from Microsoft requires developers to continuously identify, measure, and mitigate potential harms by combining automated tools (such as content filters) with human-in-the-loop reviews, red-team testing, and ongoing monitoring. Ignoring these steps risks unfair, stereotyped, or otherwise harmful generations. Therefore, the only correct statement is that bias can occur and must be addressed through sustained human oversight.
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Microsoft Azure AI Fundamentals AI-900
Describe features of generative AI workloads on Azure
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