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Factors Rule-based Chatbot AI-based Chatbot
Prone to biases in training data and a lack
Unable to adjust to conditions beyond of transparency in decision-making.
Disadvantages
predetermined rules.
Ethical considerations for privacy,
manipulation, and responsible use.
Customer service tasks include answering Entertainment and Gaming: Provide users
common questions and providing order with interactive stories and personalised
status updates. gaming experiences.
Applications
Finance and Banking: Respond to questions
regarding accounts, transactions, and
Guiding people through certain procedures.
financial products, as well as handle simple
requests.
Structure of a Chatbot
A chatbot has both a “frontend” and a “backend”.
A chatbot’s frontend is the messaging channel through which users interact, and it has an easy-to-use interface.
However, one drawback of the frontend is that it may lack contextual understanding, which means it may struggle
to grasp the whole meaning or context of user communications. The backend of a chatbot is where the hard work
happens. The backend handles application logic and has enough memory to remember previous sections of the
discussion as it progresses.
FRONTEND BACKEND
Chatbots understand a query by breaking it down into simpler components and connecting them to objects in
their memory. A chatbot’s purpose is to recognise entities and intents and then use what it discovers to initiate a
communication.
Intent
An intent is a purpose that explains why a user is contacting the chatbot. Consider it as a verb, or a type of activity.
When communicating with a chatbot, users may have a variety of intentions, such as registering a complaint, requesting
directions, or conversing with a sales representative. Organisations frequently have various intents for their chatbots to
address.
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