22 citations · 43 across the 3 of their papers we have counts for
6 papers
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
Tongxin Hu, Vasileios Iosifidis, Wentong Liao +4
In this paper, we propose FairNN a neural network that performs joint feature representation and classification for fairness-aware learning. Our approach optimizes a multi-objectiv…
FAE: A Fairness-Aware Ensemble Framework
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
Automated decision making based on big data and machine learning (ML) algorithms can result in discriminatory decisions against certain protected groups defined upon personal data…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…
AdaFair: Cumulative Fairness Adaptive Boosting
Vasileios Iosifidis, Eirini Ntoutsi
The widespread use of ML-based decision making in domains with high societal impact such as recidivism, job hiring and loan credit has raised a lot of concerns regarding potential…
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
Wenbin Zhang, Eirini Ntoutsi
Automated data-driven decision-making systems are ubiquitous across a wide spread of online as well as offline services. These systems, depend on sophisticated learning algorithms…
Fairness-enhancing interventions in stream classification
Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
The wide spread usage of automated data-driven decision support systems has raised a lot of concerns regarding accountability and fairness of the employed models in the absence of…