ServiceNow Research

Fairness

Can Active Learning Preemptively Mitigate Fairness Issues?
Can Active Learning Preemptively Mitigate Fairness Issues?
Dataset bias is one of the prevailing causes of unfairness in machine learning. Addressing fairness at the data collection and dataset …
Workshop at the International Conference on Learning Representations (ICLR),  2022.
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Using Harms and Benefits to Ground Practical AI Fairness Assessments in Finance
ACM Conference on Fairness, Accountability, and Transparency (FAccT),  2021.
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