What type of artificial intelligence does Einstein Copilot utilize?

Einstein Copilot utilizes conversational AI, which is specifically designed to understand and respond to natural language input and engage in dialogue with users. This type of artificial intelligence allows for more fluid and intuitive interactions, making it especially useful in customer service scenarios, where users can ask questions or request assistance in a more conversational manner.

Conversational AI is adept at processing language through natural language processing (NLP) techniques, enabling it to comprehend user intents and provide contextually relevant responses. This capability allows users to interact with the system in a human-like fashion, enhancing user experience and efficiency.

The other types of artificial intelligence listed—expert systems, strong AI, and machine learning—serve different purposes and methods. Expert systems are rule-based applications designed to mimic human expertise in specific domains but lack the conversational capabilities required for dialogue. Strong AI, which aims to replicate human-like intelligence across various tasks, is more advanced and still largely theoretical, as true strong AI has not been realized. Machine learning, while foundational to many AI applications, is a broader concept that refers to algorithms learning from data rather than specifically engaging in conversation.