Algorithmic Discrimination

Algorithmic discrimination refers to the bias present in data used to train algorithms, resulting in unfair decisions. When algorithms are used for decision-making in areas such as loan approvals and hiring, biased data can lead to discriminatory outcomes. Factors like flaws in the data and lack of explainability in models contribute to algorithmic discrimination. This poses a significant problem, especially for decisions with substantial impact, as it can perpetuate biases and cause harm to individuals and communities.