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Possible Limitations of AI-Based Bots

 The examples above already show the present-day potential of AI-based bots.

At present, these systems are still in an early stage and still have certain limitations and potentials for optimisation.



Twitter Bot Tay by Microsoft

Most bots at present are reactive service bots. Engagement bots that actively

interact with the users as market and brand ambassadors go one step further.

The most famous example here is the chatbot Tay by Microsoft.

Microsoft removed Tay from the web apologetically within one day. The

example shows that the uncontrolled training of bots by the community can

lead to fatal consequences. AI systems still have to learn ethical standards.

It thus becomes apparent that even bots require a kind of guideline. Like

a journalist has to observe editorial guidelines, bots have to observe certain

standards. The next generation of AI-based bots must control and create the

possible room for communication.

IBM Watson has been able to celebrate quite a few respectable results in

the field of AI, such as winning the much-quoted Jeopardy game Champs

Of The Champions (all winners of Jeopardy competed against each other).

To make the system seem more human, the IBM researchers tried to add the

Urban Directory as training database. The Urban Directory contains colloquial language and slang.

The limitations of present-day AI are evident in the fact that the system

cannot really differentiate between obscenity and courtesy. Watson, for example, replied to a serious question a scientist asked with the word “bullshit”

that was certainly not adequate in this context. Humans are able to intuitively

conduct this interpretation and reasoning—present-day AI systems cannot.

(Chat)Bots as enablers of Conversational Commerce.

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