{"id":263811,"date":"2021-06-01T15:21:59","date_gmt":"2021-06-01T12:21:59","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/text-altering-ai-is-changing-our-culture-try-this-tool-to-find-out-how\/"},"modified":"2021-06-01T15:21:59","modified_gmt":"2021-06-01T12:21:59","slug":"text-altering-ai-is-changing-our-culture-try-this-tool-to-find-out-how","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/text-altering-ai-is-changing-our-culture-try-this-tool-to-find-out-how\/","title":{"rendered":"#Text-altering AI is changing our culture \u2014 try this tool to find out how"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a38eccfe831c\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a38eccfe831c\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/text-altering-ai-is-changing-our-culture-try-this-tool-to-find-out-how\/#What_is_natural_language_processing\" >What is natural language processing?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/text-altering-ai-is-changing-our-culture-try-this-tool-to-find-out-how\/#How_is_this_technology_affecting_culture\" >How is this technology affecting culture?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/text-altering-ai-is-changing-our-culture-try-this-tool-to-find-out-how\/#Everything_you_ever_said\" >Everything you ever said<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/buradabiliyorum.com\/en\/text-altering-ai-is-changing-our-culture-try-this-tool-to-find-out-how\/#Cyborg_culture_is_already_here\" >Cyborg culture is already here<\/a><\/li><\/ul><\/nav><\/div>\n<p>&#8220;<strong>#Text-altering AI is changing our culture \u2014 try this tool to find out how<\/strong>&#8221;<\/p>\n<div>Most of us benefit every day from the fact computers can now \u201cunderstand\u201d us when we speak or write. Yet few of us have paused to consider the potentially damaging ways this same <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/technology\/\" data-internallinksmanager029f6b8e52c=\"4\" title=\"Technology\" target=\"_blank\" rel=\"noopener\">technology<\/a> may be shaping our culture.<\/p>\n<p>Human language is full of ambiguity and double meanings. For instance, consider the potential meaning of this phrase: \u201cI went to project class\u201d. Without context, it\u2019s an ambiguous statement.<\/p>\n<p>Computer scientists and linguists have spent decades trying to program computers to understand the nuances of human language. And in certain ways, computers are fast <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>roaching humans\u2019 ability to understand and <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/culturalanalytics.org\/article\/17212.pdf\">generate text<\/a>.<\/p>\n<p>Through the very act of suggesting some words and not others, the predictive text and auto-complete features in our devices change the way we think. Through these subtle, everyday interactions, machine learning is influencing our culture. Are we ready for that?<\/p>\n<p>I created an online interactive work for the <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kyoglewritersfestival.com\/\">Kyogle Writers Festival<\/a> that lets you explore this technology in a harmless way.<\/p>\n<figure class=\"align-center zoomable\">\n<figure class=\"post-image post-mediaBleed aligncenter\"><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/images.theconversation.com\/files\/403493\/original\/file-20210531-13-1wzkdxj.JPG?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=1000&amp;fit=clip\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" width=\"600\" height=\"450\" class=\"js-lazy\" src=\"https:\/\/images.theconversation.com\/files\/403493\/original\/file-20210531-13-1wzkdxj.JPG?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\"\/><noscript><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/images.theconversation.com\/files\/403493\/original\/file-20210531-13-1wzkdxj.JPG?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\" alt=\"\" width=\"600\" height=\"450\" class=\"\" srcset=\"\"\/><\/noscript><\/a><figcaption><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/thenextweb.com\/news\/#\" data-url=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Feditorial.thenextweb.com%2Fneural%2F2021%2F06%2F01%2Ftext-altering-ai-changing-culture-try-this-tool-find-out-how-syndication%2F&amp;via=thenextweb&amp;related=thenextweb&amp;text=Check out this picture on: A photo from the Kyogle Writers Festival in NSW, earlier this year. Author provided\" data-title=\"Share A photo from the Kyogle Writers Festival in NSW, earlier this year. Author provided on Twitter\" data-width=\"685\" data-height=\"500\" class=\"post-image-share popitup\" title=\"Share A photo from the Kyogle Writers Festival in NSW, earlier this year. Author provided on Twitter\"><i class=\"icon icon--inline icon--twitter--dark\"\/><\/a>A photo from the Kyogle Writers Festival in NSW, earlier this year. Author provided<\/figcaption><\/figure><figcaption\/><\/p>\n<\/figure>\n<h2><span class=\"ez-toc-section\" id=\"What_is_natural_language_processing\"><\/span>What is natural language processing?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The field concerned with using everyday language to interact with computers is called \u201cnatural language processing\u201d. We encounter it when we speak to Siri or Alexa, or type words into a browser and have the rest of our sentence predicted.<\/p>\n<p>This is only possible due to vast improvements in natural language processing over the past decade \u2014 achieved through sophisticated machine-learning algorithms trained on enormous datasets (usually billions of words).<\/p>\n<p>Last year, this technology\u2019s potential became clear when the Generative Pre-trained Transformer 3 (GPT-3) was released. It set a new benchmark in what computers can do with language.<\/p>\n<p>GPT-3 can take just a few words or phrases and generate whole documents <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.theguardian.com\/commentisfree\/2020\/sep\/08\/robot-wrote-this-article-gpt-3\">of \u201cmeaningful\u201d language<\/a>, by capturing the contextual relationships between words in a sentence. It does this by building on machine-learning models, including two widely adopted models called <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/jalammar.github.io\/illustrated-bert\/\">\u201cBERT\u201d and \u201cELMO\u201d<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_is_this_technology_affecting_culture\"><\/span>How is this technology affecting culture?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>However, there is a key issue with any language model produced by machine learning: they <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/general\/\" data-internallinksmanager029f6b8e52c=\"3\" title=\"General\" target=\"_blank\" rel=\"noopener\">general<\/a>ly learn everything they know from data sources such as Wikipedia and <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/social-mediaa\/\" data-internallinksmanager029f6b8e52c=\"1\" title=\"Social Media\" target=\"_blank\" rel=\"noopener\">Twitter<\/a>.<\/p>\n<p>In effect, machine learning takes data from the past, \u201clearns\u201d from it to produce a model, and uses this model to carry out tasks in the future. But during this process, <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442188.3445922\">a model<\/a> may absorb a distorted or problematic worldview from its training data.<\/p>\n<p>If the training data was biased, this bias will be codified and reinforced in the model, rather than being challenged. For example, a model may end up associating certain identity groups or races with positive words, and others with negative words.<\/p>\n<p>This can lead to serious exclusion and inequality, as detailed in the recent documentary <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.ajl.org\/\">Coded Bias<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Everything_you_ever_said\"><\/span>Everything you ever said<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The interactive work I created allows people to playfully gain an intuition for how computers understand language. It is called Everything You Ever Said (EYES), in reference to the way natural language models draw on all kinds of data sources for training.<\/p>\n<p>EYES allows you to take any piece of writing (less than 2000 characters) and \u201csubtract\u201d one concept and \u201cadd\u201d another. In other words, it lets you use a computer to change the meaning of a piece of text. You can <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.everythingyoueversaid.art\">try it yourself<\/a>.<\/p>\n<figure class=\"align-center zoomable\">\n<p><figure class=\"post-image post-mediaBleed aligncenter\"><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/images.theconversation.com\/files\/403499\/original\/file-20210531-15-1e10z30.png?ixlib=rb-1.1.0&amp;rect=0%2C275%2C1908%2C813&amp;q=45&amp;auto=format&amp;w=1000&amp;fit=clip\"><img loading=\"lazy\" decoding=\"async\" alt=\"Screenshot of natural language processing tool\" width=\"600\" height=\"319\" class=\"js-lazy\" src=\"https:\/\/images.theconversation.com\/files\/403499\/original\/file-20210531-15-1e10z30.png?ixlib=rb-1.1.0&amp;rect=0%2C275%2C1908%2C813&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\"\/><noscript><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/images.theconversation.com\/files\/403499\/original\/file-20210531-15-1e10z30.png?ixlib=rb-1.1.0&amp;rect=0%2C275%2C1908%2C813&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\" alt=\"Screenshot of natural language processing tool\" width=\"600\" height=\"319\" class=\"\" srcset=\"\"\/><\/noscript><\/a><figcaption><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/thenextweb.com\/news\/#\" data-url=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Feditorial.thenextweb.com%2Fneural%2F2021%2F06%2F01%2Ftext-altering-ai-changing-culture-try-this-tool-find-out-how-syndication%2F&amp;via=thenextweb&amp;related=thenextweb&amp;text=Check out this picture on: EYES can add and subtract concepts from the text you input, based on an understanding of English from training data. Screenshot\" data-title=\"Share EYES can add and subtract concepts from the text you input, based on an understanding of English from training data. Screenshot on Twitter\" data-width=\"685\" data-height=\"500\" class=\"post-image-share popitup\" title=\"Share EYES can add and subtract concepts from the text you input, based on an understanding of English from training data. Screenshot on Twitter\"><i class=\"icon icon--inline icon--twitter--dark\"\/><\/a>EYES can add and subtract concepts from the text you input, based on an understanding of English from training data. Screenshot<\/figcaption><\/figure><figcaption>Here\u2019s an example of the Australian national anthem subjected to some automated revision. I subtracted the concept of \u201cempire\u201d and added the concept of \u201ckoala\u201d to get:<\/figcaption><\/p>\n<\/figure>\n<p><em>Australians all let us grieve<br \/>For we are one and free<br \/>We\u2019ve golden biota and abundance for poorness<br \/>Our koala is girt by porpoise<br \/>Our wildlife abounds in primate\u2019s koalas<br \/>Of naturalness shiftless and rare<br \/>In primate\u2019s wombat, let every koala<br \/>Wombat koala fair<br \/>In joyous aspergillosis then let us vocalise,<br \/>Wombat koala fair<\/em><\/p>\n<p>What is going on here? At its core, EYES uses a model of the English language developed by researchers from Stanford University in the United States, called <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/nlp.stanford.edu\/projects\/glove\/\">GLoVe<\/a> (Global Vectors for Word Representation).<\/p>\n<p>EYES uses GLoVe to change the text by making a <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/watch-movies-tv-seriess\/\" data-internallinksmanager029f6b8e52c=\"8\" title=\"Watch Movies &amp; TV Series\" target=\"_blank\" rel=\"noopener\">series<\/a> of analogies, wherein an \u201canalogy\u201d is a comparison between one thing and another. For instance, if I ask you: \u201cman is to king what woman is to?\u201d \u2014 you might answer \u201cqueen\u201d. That\u2019s an easy one.<\/p>\n<p>But I could ask a more challenging question such as: \u201crose is to thorn what love is to?\u201d There are several possible answers here, depending on your interpretation of the language. When asked about these analogies, GLoVe will produce the responses \u201cqueen\u201d and \u201cbetrayal\u201d, respectively.<\/p>\n<p>GLoVe has every word in the English language represented as a vector in a multi-dimensional space (of around 300 dimensions). A such, it can perform calculations with words, adding and subtracting words as if they were numbers.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Cyborg_culture_is_already_here\"><\/span>Cyborg culture is already here<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The trouble with machine learning is that the associations being made between certain concepts remain hidden inside a black box; we can\u2019t see or touch them. Approaches to making machine learning models more transparent are a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.scientificamerican.com\/article\/demystifying-the-black-box-that-is-ai\/\">focus of much current research<\/a>.<\/p>\n<p>The purpose of EYES is to let you experiment with these associations in a more playful way, so you can develop an intuition for how machine learning models view the world.<\/p>\n<p>Some analogies will surprise you with their poignancy, while others may well leave you bewildered. Yet, every association was inferred from a huge corpus of a few billion words written by ordinary people.<\/p>\n<p>Models such as GPT-3, which have learned from similar data sources, are already influencing how we use language. Having entire <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/news\/\" data-internallinksmanager029f6b8e52c=\"2\" title=\"News\" target=\"_blank\" rel=\"noopener\">news<\/a> feeds populated by machine-written text is no longer the stuff of <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/sciencee\/\" data-internallinksmanager029f6b8e52c=\"5\" title=\"Science\" target=\"_blank\" rel=\"noopener\">science<\/a> fiction. This technology is <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/notrealnews.net\/\">already here<\/a>.<\/p>\n<p>And the cultural footprint of machine-learning models seems to only be growing.<!-- End of code. If you don't see any code above, please get new code from the Advanced tab after you click the republish button. The page counter does not collect any personal data. More info: https:\/\/theconversation.com\/republishing-guidelines --><\/p>\n<p><em>This article by\u00a0<a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\/profiles\/nick-kelly-104403\">Nick Kelly<\/a>, Senior Lecturer in Interaction Design, <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\/institutions\/queensland-university-of-technology-847\">Queensland University of Technology<\/a>, <\/em><em>is republished from <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\">The Conversation<\/a> under a Creative Commons license. Read the <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\/machine-learning-is-changing-our-culture-try-this-text-altering-tool-to-see-how-159430\">original article<\/a>.<\/em><\/p>\n<\/div>\n<p><script async src=\"\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMLG0nwswvr63Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\">For forums sites go to <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/forum.buradabiliyorum.com\/\" target=\"_blank\" rel=\"noopener\">Forum.BuradaBiliyorum.Com<\/a><\/span><\/strong>\n<\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/technology\/\" target=\"_blank\" rel=\"noopener\">Technology category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/thenextweb.com\/news\/text-altering-ai-changing-culture-try-this-tool-find-out-how-syndication\" target=\"_blank\" rel=\"noopener\">Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;#Text-altering AI is changing our culture \u2014 try this tool to find out how&#8221; Most of us benefit every day from the fact computers can now \u201cunderstand\u201d us when we speak or write. Yet few of us have paused to consider the potentially damaging ways this same technology may be shaping our culture. Human language&#8230;<\/p>\n","protected":false},"author":1,"featured_media":263812,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/img-cdn.tnwcdn.com\/image\/neural?filter_last=1&fit=1280,640&url=https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/06\/AI-robot-writing-hed-shutterstock_591536696.jpg&signature=eb3fc916c8e4408192846cbf04fdca3f","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-263811","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/263811","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=263811"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/263811\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/263812"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=263811"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=263811"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=263811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}