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If you’ve ever used a customer support livechat service, you’ve probably experienced that vague, sneaking suspicion that the “person” you’re chatting with might actually be a robot.
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.
At the heart of chatbot technology lies natural language processing or NLP, the same technology that forms the basis of the voice recognition systems used by virtual assistants such as Google Now, Apple’s Siri, and Microsoft’s Cortana.
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.
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.
There are two primary ways chatbots are offered to visitors: via web-based applications or standalone apps.
(If by some miracle you haven’t seen any of the Pop-culture references to Skynet and a forthcoming “war against the machines” are perhaps a little too common in articles about AI (including this one and Larry’s post about Google’s Rank Brain tech), but they raise somewhat uncomfortable questions about the unexpected side of developing increasingly sophisticated AI constructs – including seemingly harmless chatbots.
In 2016, Microsoft launched an ambitious experiment with a Twitter chatbot known as Tay.
Today, you can make your very own chatbot that you can use in Facebook Messenger, for example – all without a pricey Computer Science degree or even much prior coding experience – and there are several sites that offer the ability to create rudimentary chatbots using simple drag-and-drop interfaces.While some of Tay’s tweets were “original,” in that Tay composed them itself, many were actually the result of the bot’s “repeat back to me” function, meaning users could literally make the poor bot say whatever disgusting remarks they wanted.controversial views regarding certain religious texts, and even started talking smack about Microsoft’s own operating systems.(As you can see in the image above, the website’s aesthetic remains virtually unchanged since that time, a powerful reminder of how far web design has come.) Despite the fact that ALICE relies on such an old codebase, the bot offers users a remarkably accurate conversational experience. ALICE, like many contemporary bots, struggles with the nuances of some questions and returns a mixture of inadvertently postmodern answers and statements that suggest ALICE has greater self-awareness for which we might give the agent credit.Of course, no bot is perfect, especially one that’s old enough to legally drink in the U. For all its drawbacks, none of today’s chatbots would have been possible without the groundbreaking work of Dr. Also, Wallace’s bot served as the inspiration for the companion operating system in Spike Jonze’s 2013 science-fiction romance movie, movie franchise, in which an artificial intelligence system known as Skynet becomes self-aware and identifies the human race as the greatest threat to its own survival, triggering a global nuclear war by preemptively launching the missiles under its command at cities around the world.