Computer Science · Machine Learning
A student group is building a predictive system for financial loan risk assessment where the historical dataset displays major imbalances. Which approach demonstrates the highest applied level of ethical and technical competency in machine learning?
- 1Holding theoretical debates on societal fairness and algorithmic bias without any hands-on testing or execution
- 2Copying and pasting pre-made debiasing scripts from internet forums to get better performance
- 3Measuring bias via Disparate Impact Ratio, experimenting with pre/in-processing mitigation strategies, and evaluating accuracy-fairness trade-offs✓
- 4Identifying fairness metrics conceptually and reviewing standard software libraries
Correct answer
Measuring bias via Disparate Impact Ratio, experimenting with pre/in-processing mitigation strategies, and evaluating accuracy-fairness trade-offs
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