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Found 3 papers, 2 papers with code
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
By qualitative analysis, and through a simulation example of recommender systems, we show which specific types of ML biases are affected by each type of feedback loop.
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency
We show that group-specific threshold rules are optimal for PPV parity and FOR parity, similar to well-known results for other group fairness criteria.
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Here, we first introduce this type of strategic behavior, which we call an `adversarial interaction attack'.
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