Foundations of Data Science
Algorithmic discrimination occurs when computer algorithms produce biased outcomes that unfairly disadvantage certain groups of people based on characteristics like race, gender, or socioeconomic status. This bias can arise from flawed data sets or the way algorithms are designed, leading to unethical decision-making processes. It's important to recognize the implications of these biases in various sectors, as they can perpetuate inequality and undermine responsible AI practices.
congrats on reading the definition of algorithmic discrimination. now let's actually learn it.