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    On the surface one of our social moments reveals positive attention courtesy of this Columbia Journalism Review re-tweet.

    “The chatbot revolution is upon us, and has the potential to save us time, hassle, and tedium by automating mundane tasks.”[i] Yet, we are still experiencing frustrating exchanges with Siri, Cortana, and Alexa…

    I am working on a chatbot where the bot will interact with customers. I have done a bit but I would appreciate suggestions to improve it.

    If the customer enters: How can I build a bot so it would revert back on these answers? My customers could write anything, could ask anything.

    The process is so easily accomplished that Amazon says the company “constantly discovers products with Alexa baked in that no one at the company heard about before.”[xiii]Alexa powered Echo is Amazon’s “third-best-selling gadget.”[xiv] Alexa may not be as versatile as Siri — yet — but it turned out to have a distinct advantage: “a sense of purpose, and of its own limitations. ”[xv]The cheat sheet’s effect is to “lower expectations to a level that even a relatively simplistic artificial intelligence can plausibly meet on a regular basis.”[xvi]Facebook Zuckerberg said at Facebook’s 2016 annual developers conference in San Francisco that one key goal “is advancing artificial intelligence technology and building systems that are better than people in perception.”[xvii] These systems will recognize and explain objects in an image or understand speech when spoken to.” Facebook’s photo-sharing app, Moments, “uses facial recognition to understand human faces in pictures.”[xviii]Zuckerberg “unveiled the launch of the new messenger platform to build AI bots, enabling developers to build natural language services to communicate with people.

    Likes, re-tweets, or up-votes are attention grabbing social cues. It’s worth considering if they have actual substance. Seeing our name in front of the CJR audience is good, yet when we dug deeper into the profiles behind the tweets (below) further amplification what we found what amounted to unwanted attention.

    From validating a teenager’s sense of being to a collection of signals influencing important business decisions, each is layered with meaning.

    For instance, you might want to provide a different answer to “I’m having problems signing up”, such as “Please contact our support staff at XXX-XXX-XXXX”.

    : using a chatbot to solicit more information from your customer to identify a problem is a different chatbot use case.

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