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Found 3 papers, 2 papers with code
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
The idealization of a static machine-learned model, trained once and deployed forever, is not practical.
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models
Sentiment detection is an important building block for multiple information retrieval tasks such as product recommendation, cyberbullying detection, and misinformation detection.
Quantifying Algorithmic Biases over Time
Algorithms now permeate multiple aspects of human lives and multiple recent results have reported that these algorithms may have biases pertaining to gender, race, and other demographic characteristics.
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