Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview

Understand

AI-driven decision-making can lead to discrimination against certain individuals or social groups based on protected characteristics/attributes such as race, gender, or age.

• The domain of fairness-aware machine learning focuses on methods and algorithms for understanding, mitigating, and accounting for bias in AI/ML models.
• Still, thus far, the vast majority of the proposed methods assess fairness based on a single protected attribute, e.g.
• only gender or race.