A bank uses a machine learning model for loan approvals. However, it's observed that individuals from certain ethnic backgrounds are consistently getting rejected more than others, despite having similar financial profiles. This raises concerns related to which aspect of machine learning?
- Fairness & Bias
- Accuracy
- Data Preprocessing
- Model Training
This situation pertains to fairness and bias in machine learning, specifically, unfair outcomes or discrimination against certain ethnic groups, which highlights ethical concerns. It's important to address these biases for equitable decision-making.
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