From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep
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Question breakdown, part 2 - Amazon Web Services (AWS) Tutorial
From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep
Question breakdown, part 2
- In this practice question, we have an AI model that has been deployed to assist with the hiring process and it's performing poorly. And we're going to be looking for an explanation as to why. Let's read the question. A company is developing a generative AI model to recommend job candidates from a pool of applicants. The training data set consists primarily of resumes from male candidates and lacks diverse representation of race and age. The company is concerned that the model may make biased recommendations. Additionally, the team has noticed that the model's performance is inconsistent across different demographic groups, with higher error rates for underrepresented groups. What is the most likely explanation for the model's inconsistent performance across demographic groups? And so we have four answer choices here, looking at different things like overfitting or underfitting, high variance or bias. And so let's go ahead and walk through the answer choices. The model is overfitting…
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Module 5: Responsible and secure AI solutions introduction46s
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Learning objectives43s
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Responsible AI features4m 8s
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AWS responsible AI tools3m 41s
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Responsible AI model selection practices3m 26s
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Generative AI legal risks3m 25s
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AI dataset characteristics2m 47s
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AI bias and variance4m 54s
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AWS AI bias detection tools2m 1s
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Question breakdown, part 13m 18s
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Question breakdown, part 23m 16s
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