Algorithmic fairness refers to the principles and practices aimed at ensuring that algorithms make decisions without bias or discrimination against individuals or groups, particularly those historically marginalized. This concept is increasingly vital as deep learning systems are integrated into various industries, influencing critical areas such as hiring, lending, and law enforcement. Understanding algorithmic fairness helps to address potential inequalities and improve the overall impact of technology on society.
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