dictionary
Data Bias / Drift
A model is only as good as its training data. If historical hiring data exhibits a bias against certain demographics, an AI trained on that data will replicate and amplify that bias. Data drift refers to a related issue where the real-world data distribution changes over time, causing a previously accurate model’s performance to degrade.
CategoryFoundations
Reading time3 min read
Last updatedFeb 19, 2025
Definition
Systematic errors in an AI model output stemming from disproportionate, skewed, or outdated training data.
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