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Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics
Machine learning techniques provide a potential approach for developing such models.
What's Sex Got To Do With Fair Machine Learning?
They give the social meaning of sex features, meanings that are precisely what make sex discrimination a distinctively morally problematic type of action.
Fair Classification and Social Welfare
By showing that these constraints often fail to translate into improved outcomes for these groups, we cast doubt on their effectiveness as a means to ensure justice.
The Disparate Effects of Strategic Manipulation
When consequential decisions are informed by algorithmic input, individuals may feel compelled to alter their behavior in order to gain a system's approval.
Welfare and Distributional Impacts of Fair Classification
Current methodologies in machine learning analyze the effects of various statistical parity notions of fairness primarily in light of their impacts on predictive accuracy and vendor utility loss.
