Artificial intelligence is now being used to improve the performance of chatbots. Most bots, on the other hand, are now implemented in a relatively straightforward manner. Specific keywords are typically checked for on Twitter and Facebook, and prefabricated messages or text modules are then automatically played out based on the results. Systems that automatically recognize significant text findings on the Internet and then put them together to produce a post are a little more intelligent.
The phrase “robot journalism” is used to describe this type of automated information curation. Chatbots use complex natural language processing (NLP) methods to convert the running text into corresponding semantics and signal words, allowing them to capture the posts appropriately.
Connecting chatbots to knowledge databases is another option. Chatbots appear to be “intelligent” to users because of their ability to provide information. Chatbots, on the other hand, are only as intelligent as the database that powers them.
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Chatbots can be made more intelligent in the future, thanks to advancements in AI. Chatbots powered by artificial intelligence (AI) learn mostly independently from the vast volumes of online data and recognize question-and-answer patterns that they utilize in consumer communication automatically.
The example of Microsoft Tay, on the other hand, demonstrates how community-controlled bot training can have disastrous effects. The next generation of AI-based bots must be able to regulate and create space for dialogue.
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