<span style="font-variant: small-caps">FairCaipi</span>: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction

<span style="font-variant: small-caps">FairCaipi</span>: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction

The rise of machine-learning applications in domains with critical end-user impact has led to a growing concern about the fairness of learned models, with the goal of avoiding biases that negatively impact specific demographic groups. Most existing bias-mitigation strategies adapt the importance of...

Full description

Bibliographic Details
Main Authors: Louisa Heidrich, Emanuel Slany, Stephan Scheele, Ute Schmid
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Machine Learning and Knowledge Extraction
Subjects:
fair machine learning
explanatory and interactive machine learning
Online Access:https://www.mdpi.com/2504-4990/5/4/76

Similar Items

Similar Items