Question Answering is a field in artificial intelligence focused on building systems that can automatically respond to questions posed in natural language. These systems analyze the input question, retrieve relevant information, and generate accurate answers, often using large databases or knowledge bases. There are two main types of question answering: open-domain and closed-domain. Open-domain systems can answer questions on a wide range of topics, while closed-domain systems are specialized for specific subjects. Techniques used in question answering include natural language processing and machine learning, which help improve the accuracy and relevance of the responses.