Which term describes AI that creates new content based on learned patterns?

Generative AI is the appropriate term for AI systems that are designed to create new content by analyzing and learning from existing data patterns. Such systems utilize machine learning techniques to understand the structure, style, and characteristics of input data, allowing them to generate new and original outputs that resemble the training data.

This form of AI has gained prominence due to advancements in deep learning, particularly with models like Generative Adversarial Networks (GANs) and various neural networks that can compose music, generate art, write text, and more. The key aspect of generative AI is its ability not just to classify or analyze data but to produce new, creative instances based on the patterns it has internalized during training.

The other options refer to different AI functionalities. Reactive AI refers to systems that solely react to specific inputs without any capability to learn from past experiences. Descriptive AI focuses on providing insights or summaries based on existing data, and prescriptive AI suggests actions based on data analysis, optimizing for specific outcomes. These differing functions delineate their roles in the spectrum of artificial intelligence applications.