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Posted by / 02-Jul-2017 06:55

When Weizenbaum cooked up his little therapist at MIT, he had no way of knowing that it would spawn hordes of fraudsters and con-bots.

But as the Ashley Madison leaks showed last summer, some chatbots just want you for your money.

They are still seen as a benchmark in artificial intelligence and a common vessel for administering the Turing Test, which, boiled down, seeks to find an AI that can fool people into believing it's human.

The result was a foul-mouthed machine that learned terms such as “ass hat” and “front butt” but didn’t understand when it was appropriate to use them, once responding to a researcher’s query with “bullshit!

But existing systems, based on lists of potentially offensive words, perform poorly: According to California-based computer scientists Sara Owsley Sood and Judd Antin, “They fail to adapt to evolving profane slang, identify profane terms that have been disguised or only partially censored (e.g., @ss, f$#%) or intentionally or unintentionally misspelled (e.g., biatch, shiiiit).* For these reasons, they are easy to circumvent and have very poor recall.” Further, words such as can be indecorous in some situations but not in others—context is essential.

Sood and Antin used a crowdsourced data set of profanity to encourage support vector machines, used in text classification, “to learn a model of profanity.” The researchers’ profanity detection system performed much better than a traditional list-based system, but they admit they still have work to do to improve recall. researchers attacking the problem from different angles, a future with realistic potty-mouthed sass-bots that can verbally spar with the best (worst?

” If the person became angry and began flinging insults, the bot would come back with “you only use foul language to make up for your small penis.” Humphrys documents one particular conversation, with a user called SOMEONE at DRAKE, which shows the boorish bot having passed the Turing test, “depending on how one defines the rules (and how seriously one takes the idea of the test itself).” The key, explains Humphrys, was to push the right emotional buttons to cloud the user’s judgment: “Questioning SOMEONE at DRAKE’s sexual abilities was all that was needed to get him into defensive, boastful and argumentative mood, emotions that blinded him to the fact that he wasn’t actually talking to a person.” Another means to the same end is to use sex directly, and Humphrys, with deep admiration, tells about Jake Kaufman’s Jenny18 bot, which, posing as a horny 18-year-old woman, brings user dom01 “to orgasm repeatedly, which surely must count as a fundamental new milestone passed in the history of the Turing Test.” These very specific instances aside, slang and swearing have proven tricky for artificial intelligence and natural language processing researchers to implement on a machine.

Although curse words make up only 0.5 to 0.7 percent of all of the words we speak, they are rich in nuance and play a variety of roles.

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Lee and Gregory Diaz of Florida International University, along with Elizabeth Dominguez Campillo of the Universidad de la Habana in Cuba, have proposed artificially intelligent bots that could become offended by a variety of face-threatening acts—not only deliberate insults but also inadvertent lapses in tact.

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