Machine learning models improve their performance by identifying patterns in large datasets. During training, a model adjusts its internal parameters to reduce prediction errors. The more relevant data it receives, the more accurate its predictions typically become. However, biased training data can lead the model to produce biased results. Researchers are therefore working to ensure datasets represent diverse populations fairly. According to the passage, what problem can arise from biased training data?
