From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

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Question breakdown, part 2

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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