Chatbots: history, uses, risks, and limits

Definition and purpose of chatbots

A chatbot is a software application or web interface designed to converse through text or speech, acting as a conversation partner (often described as a virtual assistant). The core purpose of a chatbot is to simulate human-like conversation by interpreting user input and generating appropriate responses, enabling interactive communication without requiring a human agent for every exchange. Historically, chatbots were evaluated against ideas such as the Turing test, which considers whether a program can convincingly imitate a human in real-time conversation. Early systems like ELIZA demonstrated that seemingly meaningful dialogue could be produced using pattern matching and pre-prepared responses, creating an “illusion of understanding.” Modern chatbots increasingly rely on large language models (e.g., transformer-based generative models) that can generate text after training on large datasets, supporting more flexible and capable conversational behavior. In practice, chatbots are used to serve many purposes, especially where quick, scalable interaction is valuable—such as customer service, information delivery, and task assistance in messaging apps and company platforms. They can also be deployed in specialized domains like healthcare, politics, and even consumer devices (e.g., conversational toys), while raising concerns around misuse, security, and data protection.

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Turing test as conversational intelligence criterion

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