Data Bias in Machine Learning: Implications for Social Justice

Machine learning and artificial intelligence have taken organizations to new heights of innovation, growth, and profits thanks to their ability to analyze data efficiently and with extreme accuracy. However, the inherent nature of some algorithms such as black-box models have been proven, at times, to be unfair and lack transparency, leading to multiplicated bias and detrimental impact on minorities.

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