DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models

By KDnuggets - 2020-12-08

Description

Causal Bayesian Networks are used to model the influence of fairness attributes in a dataset.

Summary

I recently started a new newsletter focus on AI education.
While directionally correct, that definition is incomplete as it is impossible to evaluate fairness without considering the data generation strategies for the model.
CBNs and Unfairness How can CBNs help to determine causal representations of unfairness in a dataset?
However, while a CBN can clearly measure unfairness in direct paths, the indirect causal relationships are highly dependent on contextual factors.

Topics

Machine_Learning (0.35)
NLP (0.23)
Backend (0.17)

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