What are some limitations of current Machine Learning technology?

Despite powerful capabilities, Machine Learning has significant limitations that affect its applicability and reliability in various scenarios.\n\n• Data Dependency: Requires large amounts of quality data\n• Bias Issues: Reflects biases present in training data\n• Interpretability: Complex models are often "black boxes"\n• Generalization: May not work well on data different from training\n\nExample: Facial recognition systems may work poorly on underrepresented ethnic groups due to biased training data. Medical AI may not explain why it made a diagnosis, making doctors hesitant to trust it.