Knowledge Representation in AI involves creating formal structures and symbols that accurately encode information about the world. This enables computers to understand, reason, and make decisions based on the data. Effective representation facilitates problem-solving, inference, and learning, making it fundamental for developing intelligent systems capable of complex tasks such as natural language understanding, planning, and expert systems.