Where Fairness Fails: The Hidden Flaws in Tackling Algorithmic Bias

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Where Fairness Fails: The Hidden Flaws in Tackling Algorithmic Bias

Can traditional antidiscrimination approaches fix algorithmic bias? This video breaks down the key arguments from an academic paper revealing why current methods fall short in addressing systemic issues in algorithms.

We’ll explore three major limitations: the focus on individual "bad actors," the neglect of intersectionality, and the narrow view on resource distribution while ignoring structural injustices. Discover how algorithms shape and sustain social hierarchies—and why we need new strategies to tackle these biases.