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Found 5 papers, 1 papers with code
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
This method aims to mitigate forgetting while adapting to new classes and domain shifts by combining the advantages of the Replay and Pseudo-Label methods and solving their limitations in the proposed scenario.
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services
As Machine Learning systems become increasingly popular across diverse application domains, including those with direct human implications, the imperative of equity and algorithmic fairness has risen to prominence in the Artificial Intelligence community.
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline.
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust
This paper presents the results of an extensive study investigating the opinions on Artificial Intelligence (AI) of a sample of 4, 006 European citizens from eight distinct countries (France, Germany, Italy, Netherlands, Poland, Romania, Spain, and Sweden).
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach
More in detail, we show that fairness under unawareness can be cast as a quantification problem and solved with proven methods from the quantification literature.
