Example Concept: AI content moderation systems typically use natural language processing (NLP) and computer vision techniques to evaluate content. NLP models analyze text for harmful language, while computer vision models assess images and videos for inappropriate visuals. These systems are trained on large datasets to recognize patterns associated with offensive content. Once the content is flagged, it can be automatically removed, reviewed by a human moderator, or subjected to further analysis.