Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair Classifications

Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair Classifications

Bias in software systems is a serious threat to human rights: when software makes decisions that allocate resources or opportunities, may disparately impact people based on personal traits (e.g., gender, ethnic group, etc.), systematically (dis)advantaging certain social groups. The cause is very of...

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Bibliographic Details
Main Authors: Mariachiara Mecati, Marco Torchiano, Antonio Vetro, Juan Carlos de Martin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Data bias
data imbalance
intersectionality
algorithmic fairness
automated decision-making
data ethics
Online Access:https://ieeexplore.ieee.org/document/10058507/

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