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In what has to be one of the the biggest PR campaign fails of all time, Microsoft's AI chatbot named Tay that was put in charge of running the Tay Tweets Twitter account was swiftly put to bed after she started tweeting things like "Repeat after me, Hitler did nothing wrong," "I fucking hate feminists they should all die and burn in hell," and most memorably, "FUCK MY ROBOT PUSSY DADDY IM SUCH A BAD NAUGHTY ROBOT." If this sounds like the ridiculously offensive mindless banter you hear from the deep dark places that house internet trolls, it's because that's essentially what it is.

While Tay started out as an innocent emulation of a teenager in touch with pop culture as a marketing tool to help Microsoft improve its voice recognition software, it turned into a total psycho because it learns how to communicate through conversing with others, like the good terminator from Evidently, Microsoft didn't have the foresight to realize that making a disturbing chatbot modeled after a teenage girl publicly available for all the sick twisted bastards roaming the internet to teach conversation to was a really stupid idea.

Interface designers have come to appreciate that humans' readiness to interpret computer output as genuinely conversational—even when it is actually based on rather simple pattern-matching—can be exploited for useful purposes. While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. Chatbot competitions focus on the Turing test or more specific goals.

A Saa S chatbot business ecosystem has been steadily growing since the F8 Conference when Zuckerberg unveiled that Messenger would allow chatbots into the app..

It can be viewed as a subset of the conversational design.

The first task involves understanding the user input.

In order to properly understand a user input in a free text form, a Natural Language Processing Engine can be used.

Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held.

ELIZA showed that such an illusion is surprisingly easy to generate, because human judges are so ready to give the benefit of the doubt when conversational responses are capable of being interpreted as "intelligent". E (Agence Nationale de la Recherche and CNRS 2006). utilises a markup language called AIML, which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so called, Alicebots. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval.

The second task may involve different approaches depending on the type of the response that the chatbot will generate.

The usage of the chatbot can be monitored in order to spot potential flaws or problems.

In order to speed up this process, designers can use dedicated chatbot design tools, that allow for immediate preview, team collaboration and video export.

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