Social Robustness Explained
Anshuman delves into group and individual fairness in clustering algorithms, highlighting how social biases can impact outcomes. Using k-means as an example, he illustrates how historical data can lead to biased clustering results, shedding light on the importance of social robustness in machine learning.In this clip
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