Keywords: Algorithms, Discrimination, Feedback Loop, Inequality, Machine Learning, Machine Learning Lifecycle, Miro, Unconscious Bias
Author: N/A
Publisher: Miro
Publication Year: N/A
Summary: The following visualization highlights the impact of bias in several aspects of the machine learning lifecycle. One point discussed frequently is the patterns of bias and discrimination baked into data sets. This image highlights that the real world patterns of discrimination and inequality are the source of the bias in our data sets. What sets this graph apart is the feedback loop. It shows how this process creates algorithms and insights that further enforce the biases. In a sense these biases can compound on each other through the interaction of algorithms
