Humanist Discussion Group, Vol. 32, No. 506. Department of Digital Humanities, King's College London Hosted by King's Digital Lab www.dhhumanist.org Submit to: email@example.com Date: 2019-03-03 11:56:47+00:00 From: Ken Friedman
Subject: Fwd: Re: [Humanist] 32.503: authorship attribution for automatically generated texts? Dear All, Maurizio Lana’s question fascinated me. I don’t know the technical answer to the question, but it raises intriguing philosophical issues. Since it is in theory possible to identify authors using stylistic analysis, I imagine that it should be possible to determine the authorship of an AI-authored document provided that other examples of text by the same AI author exist. What is less clear is this: if an AI author can emulate human writing successfully, it’s difficult to know whether that author can be identified as AI rather than human. On the slightly amusing — and possibly irrelevant side — I discovered this morning that Google Translate sometimes seems to make sentences that are more sensible than what I originally wrote. Yesterday, I got a version of the Nigerian Scam in Turkish. I wrote back a total nonsense reply, meaningless words of nonsense syllables strung together at random. The author — supposedly a lawyer named Stephan Williams — replied as though I had written a serious answer, attempting to move me to the next phase of the scam by stating conditions and asking for my oath of confidentiality. (I learned this when I pasted his text into Google Translate.) Today, I replied with a nonsensical response — a real set of meaningless sentences. Under the header “salatalık çorbası” (Cucumber Soup), I wrote, “This much so many the esteemed baboon has enjoyed. I salute your tribulations, yet I must rebuke the splendor of your reply. It is with sorrow but dignity that I decline this offer. Magnificent Stephen Williams, you are the toenails of splendor. I thank you, but I withdraw from consideration.” Google Translate rendered this in Turkish as, “Bu kadar çok saygın maymun çok hoşuna gitti. Bakirelerinizi selamlıyorum, ancak cevabınızın ihtişamını azarlamalıyım. Bu teklifi reddetmek üzüntüsüm ama onurlu. Muhteşem Stephen Williams, sen görkemli ayak tırnaklarını Teşekkür ederim, ama dikkate alınmayacağım.” When I translated this back in English to get an ideas of what the imaginary Stephan Williams would read, Google gave me something that was silly — but oddly enough, more grammatical than what I had written in English before translation: “So many respectable monkeys enjoyed it. I salute your virgins, but I must scold the grandeur of your answer. I'm sorry to reject this offer, but it's honorable. Gorgeous Stephen Williams, thank you to your splendid toenails, but you will not be ignored.” The text generators that create false academic prose often resemble sentences in real journal articles. Who knows what’s next? As Shakespeare’s Miranda puts it in The Tempest (Act 5, Scene 1), “How beauteous mankind is! O brave new world That has such people in ’t!” Yours, Ken Ken Friedman, Ph.D., D.Sc. (hc), FDRS | Editor-in-Chief | 设计 She Ji. The Journal of Design, Economics, and Innovation | Published by Tongji University in Cooperation with Elsevier | URL: http://www.journals.elsevier.com/she-ji-the-journal-of-design-economics-and- innovation/ Chair Professor of Design Innovation Studies | College of Design and Innovation | Tongji University | Shanghai, China ||| Email firstname.lastname@example.org | Academia http://swinburne.academia.edu/KenFriedman | D&I http://tjdi.tongji.edu.cn > On 2019Mar 3, at 09:01, Humanist > wrote: —snip— > some of us surely read the news about the OpenAI GPT software* > which has a great ability to automatically generate texts of high > quality and for this reason was not released in public by the > developers, breaking from the normal practice of OpenAI which releases > the full research to the public. at the above address links are > available to the unpublished paper describing the software and to the a > limited small version source code. > > so one thought arises: could an authorship attribution system/software > be able to recognize such texts? or: how could an authorship attribution > system/software be devised to be able to recognize such texts? > > if not, what else? —snip— _______________________________________________ Unsubscribe at: http://dhhumanist.org/Restricted List posts to: email@example.com List info and archives at at: http://dhhumanist.org Listmember interface at: http://dhhumanist.org/Restricted/ Subscribe at: http://dhhumanist.org/membership_form.php
Editor: Willard McCarty (King's College London, U.K.; Western Sydney University, Australia)
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