Algorithmic Discrimination

Algorithmic discrimination occurs when computer algorithms make decisions that unfairly disadvantage certain groups of people based on characteristics like race, gender, or socioeconomic status. This can happen if the data used to train these algorithms reflects existing biases or if the algorithms themselves are designed without considering fairness. For instance, a job recruitment algorithm might favor candidates from a specific demographic because it was trained on biased historical hiring data. As technology becomes more integrated into society, addressing algorithmic discrimination is crucial to ensure fair treatment and equal opportunities for everyone.