Example Concept: AI systems for detecting spam, fraud, or fake news typically use supervised learning models trained on labeled datasets. These models analyze features such as text patterns, user behavior, and metadata to classify content. For example, spam detection might focus on keyword frequency and sender reputation, fraud detection on transaction anomalies, and fake news detection on source credibility and linguistic cues.