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Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data
Biases in large-scale image datasets are known to influence the performance of computer vision models as a function of geographic context.
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes
We, therefore, recommend a more critical look at the model design and its effect on equity and a shift towards equity achieving predictive decision-making models.
Setting Fair Incentives to Maximize Improvement
A key technical challenge of this problem is the non-monotonicity of social welfare in the set of target levels, i. e., adding a new target level may decrease the total amount of improvement as it may get easier for some agents to improve.
On classification of strategic agents who can both game and improve
For the general discrete model, we give an efficient algorithm for the problem of maximizing the number of true positives subject to no false positives, and show how to extend this to a partial-information learning setting.
The Strategic Perceptron
The classical Perceptron algorithm provides a simple and elegant procedure for learning a linear classifier.
