What is the use of AI to automatically generate human-like text or speech from structured data called?

The use of AI to automatically generate human-like text or speech from structured data is called natural language generation. This process involves the creation of coherent and contextually relevant sentences or phrases based on data inputs, allowing machines to produce written or spoken content that closely resembles human language.

Natural language generation is particularly useful in applications such as automated report writing, content creation, and chatbot responses, where structured data needs to be converted into a format that is easily understandable by people. By leveraging algorithms and models, AI systems can analyze the input data and produce text that aligns with human conversational patterns and language rules, making it an essential component in enhancing human-computer interactions.

Other choices do not align with this definition: natural language understanding focuses on comprehending and interpreting human language, machine translation deals with converting text from one language to another, and speech recognition involves the process of identifying and transcribing spoken language into text. Each of these areas serves distinct purposes that do not involve the generation of human-like text from structured data.