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Chatbots process the text presented to them by the user (a process known as “parsing”), before responding according to a complex series of algorithms that interprets and identifies what the user said, infers what they mean and/or want, and determine a series of appropriate responses based on this information.

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chatbots to businesses as a way to keep customers coming back for more.

A new bot built by Microsoft employees in their spare time is designed to do exactly the opposite.

Before we get into the examples, though, let’s take a quick look at what chatbots really are and how they actually work.

Chatbots – also known as “conversational agents” – are software applications that mimic written or spoken human speech for the purposes of simulating a conversation or interaction with a real person.

Conversational agents are becoming much more common partly due to the fact that barriers to entry in creating chatbots (i.e.

sophisticated programming knowledge and other highly specialized technical skills) are becoming increasingly unnecessary.The free bot, created by Stanford student Joshua Browder, allows those affected by the Equifax breach to sue the company for up to ,000 (depending on the state).As of this writing, the chatbot currently allows users to file in California and New York--with other states being added (according to the website) within 12 hours.Like the endearingly stiff robots we’ve seen in countless movies – tragic, pitiful machines tortured by their painfully restricted emotional range, futilely hoping to attain a greater degree of humanity – chatbots often sound It’s the online equivalent of the “Uncanny Valley,” a mysterious region nestled somewhere between the natural and the synthetic that offers a disturbing glimpse at how humans are making machines that could eventually supplant humans, if only their designers could somehow make their robotic creations less nightmarish. Chatbots have become extraordinarily popular in recent years largely due to dramatic advancements in machine learning and other underlying technologies such as natural language processing.Today’s chatbots are smarter, more responsive, and more useful – and we’re likely to see even more of them in the coming years.Privacy expert Ryan Calo, a law professor at the University of Washington, expressed a certain degree of skepticism in an interview with Mashable: "A small error could invalidate whoever's using it, right?