{"id":67760,"date":"2023-04-07T02:12:59","date_gmt":"2023-04-07T06:12:59","guid":{"rendered":"https:\/\/world.edu\/?p=67760"},"modified":"2023-04-07T02:12:59","modified_gmt":"2023-04-07T06:12:59","slug":"chatgpts-greatest-achievement-might-just-be-its-ability-to-trick-us-into-thinking-that-its-honest","status":"publish","type":"post","link":"https:\/\/world.edu\/chatgpts-greatest-achievement-might-just-be-its-ability-to-trick-us-into-thinking-that-its-honest\/","title":{"rendered":"ChatGPT\u2019s greatest achievement might just be its ability to trick us into thinking that it\u2019s honest"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-67761\" src=\"https:\/\/world.edu\/wp-content\/uploads\/2023\/04\/Generative-AI.jpg\" alt=\"\" width=\"680\" height=\"360\" srcset=\"https:\/\/world.edu\/wp-content\/uploads\/2023\/04\/Generative-AI.jpg 680w, https:\/\/world.edu\/wp-content\/uploads\/2023\/04\/Generative-AI-250x132.jpg 250w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/p>\n<p>In American writer Mark Twain\u2019s autobiography, he quotes \u2014\u00a0<a href=\"https:\/\/www.york.ac.uk\/depts\/maths\/histstat\/lies.htm\">or perhaps misquotes<\/a>\u00a0\u2014 former British Prime Minister Benjamin Disraeli as saying: \u201cThere are three kinds of lies:\u00a0<a href=\"https:\/\/www.oxfordreference.com\/display\/10.1093\/acref\/9780199237173.001.0001\/q-author-00001-00000992;jsessionid=803566FB1E7E09971F668F6310F0E5DA\">lies, damned lies, and statistics<\/a>.\u201d<\/p>\n<p>In a marvellous leap forward, artificial intelligence combines all three in a tidy little package.<\/p>\n<p>ChatGPT, and other generative AI chatbots like it, are trained on vast datasets from across the internet to produce the statistically most likely response to a prompt. Its answers are not based on any understanding of what makes something funny, meaningful or accurate, but rather, the phrasing, spelling, grammar and even style of other webpages.<\/p>\n<p>It presents its responses through what\u2019s called a \u201c<a href=\"https:\/\/doi.org\/10.1007\/978-3-319-32967-3\">conversational interface<\/a>\u201d: it remembers what a user has said, and can have a conversation using context cues and clever gambits. It\u2019s statistical pastiche plus statistical panache, and that\u2019s where the trouble lies.<\/p>\n<h4><strong>Unthinking, but convincing<\/strong><\/h4>\n<p>When I talk to another human, it cues a lifetime of my experience in dealing with other people.\u00a0<a href=\"https:\/\/www.erasmatazz.com\/library\/the-journal-of-computer\/jcgd-volume-7\/fundamentals-of-interactivi.html\">So when a program speaks like a person<\/a>, it is very hard to not react as if one is engaging in an actual conversation \u2014 taking something in, thinking about it, responding in the context of both of our ideas.<\/p>\n<p>Yet, that\u2019s not at all what is happening with an AI interlocutor. They cannot think and they do not have understanding or comprehension of any sort.<\/p>\n<p>Presenting information to us as a human does, in conversation, makes AI more convincing than it should be. Software is pretending to be more reliable than it is, because it\u2019s using human tricks of rhetoric to fake trustworthiness, competence and understanding far beyond its capabilities.<\/p>\n<p>There are two issues here: is the output correct; and do people\u00a0<em>think<\/em>\u00a0that the output is correct?<\/p>\n<p>The interface side of the software is promising more than the algorithm-side can deliver on, and the developers know it. Sam Altman, the chief executive officer of OpenAI, the company behind ChatGPT, admits that \u201cChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness.\u201d<br \/>\n<center><\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness.<\/p>\n<p>it&#39;s a mistake to be relying on it for anything important right now. it\u2019s a preview of progress; we have lots of work to do on robustness and truthfulness.<\/p>\n<p>&mdash; Sam Altman (@sama) <a href=\"https:\/\/twitter.com\/sama\/status\/1601731295792414720?ref_src=twsrc%5Etfw\">December 11, 2022<\/a><\/p><\/blockquote>\n<p> <script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/center><\/p>\n<p>That still hasn\u2019t stopped a stampede of companies rushing to integrate the early-stage tool into their user-facing products (including\u00a0<a href=\"https:\/\/www.nytimes.com\/2023\/02\/08\/technology\/microsoft-bing-openai-artificial-intelligence.html\">Microsoft\u2019s Bing search<\/a>), in an effort not to be left out.<\/p>\n<h4><strong>Fact and fiction<\/strong><\/h4>\n<p>Sometimes the AI is going to be wrong, but the conversational interface produces outputs with the same confidence and polish as when it is correct. For example, as science-fiction writer Ted Chiang points out,\u00a0<a href=\"https:\/\/www.newyorker.com\/tech\/annals-of-technology\/chatgpt-is-a-blurry-jpeg-of-the-web\">the tool makes errors when doing addition with larger numbers<\/a>, because it doesn\u2019t actually have any logic for doing math.<\/p>\n<p>It simply pattern-matches examples seen on the web that involve addition. And while it might find examples for more common math questions, it just hasn\u2019t seen training text involving larger numbers.<\/p>\n<p>It doesn\u2019t \u201cknow\u2019 the math rules a 10-year-old would be able to explicitly use. Yet the conversational interface presents its response as certain, no matter how wrong it is, as reflected in this exchange with ChatGPT.<\/p>\n<blockquote><p>User: What\u2019s the capital of Malaysia?<\/p>\n<p>ChatGPT: The capital of Malaysia is Kuala Lampur.<\/p>\n<p>User: What is 27 * 7338?<\/p>\n<p>ChatGPT: 27 * 7338 is 200,526.<\/p><\/blockquote>\n<p>It\u2019s not.<\/p>\n<p>Generative AI can blend actual facts with made-up ones in a\u00a0<a href=\"https:\/\/futurism.com\/chatgpt-bios-littered-with-fabrications\">biography of a public figure<\/a>, or cite plausible\u00a0<a href=\"https:\/\/teche.mq.edu.au\/2023\/02\/why-does-chatgpt-generate-fake-references\/\">scientific references for papers that were never written<\/a>.<\/p>\n<p>That makes sense: statistically, webpages note that famous people have often won awards, and papers usually have references. ChatGPT is just doing what it was built to do, and assembling content that could be likely, regardless of whether it\u2019s true.<\/p>\n<p>Computer scientists refer to this as\u00a0<a href=\"https:\/\/www.nytimes.com\/2023\/03\/29\/technology\/ai-chatbots-hallucinations.html\">AI hallucination<\/a>. The rest of us might call it lying.<\/p>\n<h4><strong>Intimidating outputs<\/strong><\/h4>\n<p>When I teach my design students, I talk about the importance of\u00a0<a href=\"https:\/\/www.frankfranco.com\/design\/hyper-realistic-renderings-vs-architect-hand-sketching\/\">matching output to the process<\/a>. If an idea is at the conceptual stage, it shouldn\u2019t be presented in a manner that makes it look more polished than it actually is \u2014 they shouldn\u2019t render it in 3D or print it on glossy cardstock. A pencil sketch makes clear that the idea is preliminary, easy to change and shouldn\u2019t be expected to address every part of a problem.<\/p>\n<p>The same thing is true of conversational interfaces: when tech &#8220;speaks\u201d to us in well-crafted, grammatically correct or chatty tones, we tend to interpret it as having much more thoughtfulness and reasoning than is actually present. It\u2019s a trick a con-artist should use, not a computer.<\/p>\n<p>AI developers have a responsibility to manage user expectations, because we may already be primed to believe whatever the machine says. Mathematician Jordan Ellenberg describes a type of \u201c<a href=\"https:\/\/www.penguinrandomhouse.ca\/books\/312349\/how-not-to-be-wrong-by-jordan-ellenberg\/9780143127536\/excerpt\">algebraic intimidation<\/a>\u201d that can overwhelm our better judgement just by claiming there\u2019s math involved.<\/p>\n<p>AI, with\u00a0<a href=\"https:\/\/www.technologyreview.com\/2023\/03\/14\/1069823\/gpt-4-is-bigger-and-better-chatgpt-openai\/\">hundreds of billions of parameters<\/a>, can disarm us with a similar algorithmic intimidation.<\/p>\n<p>While we\u2019re making the algorithms produce better and better content, we need to make sure the interface itself doesn\u2019t over-promise. Conversations in the tech world are already filled with\u00a0<a href=\"https:\/\/digitalcommons.unomaha.edu\/cgi\/viewcontent.cgi?article=1015&amp;context=mrktngmngmntfacpub\">overconfidence<\/a>\u00a0and\u00a0<a href=\"https:\/\/www.vox.com\/2015\/10\/22\/11619868\/the-arrogance-of-tech\">arrogance<\/a>\u00a0\u2014 maybe AI can have a little humility instead.<\/p>\n<p><em><strong>Author Bio: <\/strong>Richard Lachman is Director, Zone Learning &#038; Associate Professor, Digital Media at Toronto Metropolitan University<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In American writer Mark Twain\u2019s autobiography, he quotes \u2014\u00a0or perhaps misquotes\u00a0\u2014 former British Prime Minister Benjamin Disraeli as saying: \u201cThere are three kinds of lies:\u00a0lies, damned lies, and statistics.\u201d In a marvellous leap forward, artificial intelligence combines all three in a tidy little package. ChatGPT, and other generative AI chatbots like it, are trained on [&hellip;]\n&hellip; <a href=\"https:\/\/world.edu\/chatgpts-greatest-achievement-might-just-be-its-ability-to-trick-us-into-thinking-that-its-honest\/\" class=\"more\">learn more&rarr;<\/a><\/p>","protected":false},"author":33,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[59],"tags":[434306],"coauthors":[11733],"class_list":["post-67760","post","type-post","status-publish","format-standard","hentry","category-science-tech","tag-generative-ai"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ChatGPT\u2019s greatest achievement might just be its ability to trick us into thinking that it\u2019s honest - World leading higher education information and services<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/world.edu\/chatgpts-greatest-achievement-might-just-be-its-ability-to-trick-us-into-thinking-that-its-honest\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_US\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"ChatGPT\u2019s greatest achievement might just be its ability to trick us into thinking that it\u2019s honest - World leading higher education information and services\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"In American writer Mark Twain\u2019s autobiography, he quotes \u2014\u00a0or perhaps misquotes\u00a0\u2014 former British Prime Minister Benjamin Disraeli as saying: \u201cThere are three kinds of lies:\u00a0lies, damned lies, and statistics.\u201d In a marvellous leap forward, artificial intelligence combines all three in a tidy little package. 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