{"id":1963,"date":"2020-08-13T17:58:47","date_gmt":"2020-08-13T17:58:47","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2020\/08\/13\/facebook-ai-chief-pushes-the-technologys-limits\/"},"modified":"2020-08-13T17:58:47","modified_gmt":"2020-08-13T17:58:47","slug":"facebook-ai-chief-pushes-the-technologys-limits","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2020\/08\/13\/facebook-ai-chief-pushes-the-technologys-limits\/","title":{"rendered":"Facebook AI Chief Pushes the Technology&#8217;s Limits"},"content":{"rendered":"<p><a href=\"https:\/\/www.google.com\/url?rct=j&#038;sa=t&#038;url=https:\/\/www.wsj.com\/articles\/facebook-ai-chief-pushes-the-technologys-limits-11597334361&#038;ct=ga&#038;cd=CAIyHDkyYmU1MGQ5NjY1NjYxZTA6Y28udWs6ZW46R0I&#038;usg=AFQjCNHggdHGF0vEMQe071TmTdEXnF_1CQ\">Facebook AI Chief Pushes the Technology&#8217;s Limits<\/a><\/p>\n<p><div id=\"cx-articlecover\"><\/div>\n<div id=\"articlebody-i18n\" data-i18n-hide-caption=\"HIDE CAPTION\" data-i18n-show-caption=\"SHOW CAPTION\" data-i18n-advertisement=\"Advertisement\"><\/div>\n<div class=\"clearfix byline-wrap\"><\/div>\n<div id=\"share-target\" class>\n<div id=\"inlineToolTargetSB12426179330020853332604586565654043707120\" class=\"shareMenuInlineWrap hide12 hide16\"><\/div>\n<\/p><\/div>\n<div class=\"article-content  \">\n<p>As babies drop spoons and cups from their high-chairs, they come to understand the concept of gravity. To a parent, it might seem like the process takes forever, but babies typically grasp the idea in a few months. <\/p>\n<p>Algorithms require much more data and time to learn much narrower lessons. A handful of scientists are pushing the furthest limits of artificial intelligence by training it to <a href=\"https:\/\/www.wsj.com\/articles\/the-ultimate-learning-machines-11570806023\" class=\"icon none\">better learn by itself, more like a baby<\/a>.<\/p>\n<p>\u201cThis is the single most important problem to solve in AI today,\u201d says Yann LeCun, chief artificial intelligence scientist at<\/p>\n<p>            <a href=\"https:\/\/www.wsj.com\/market-data\/quotes\/FB\">Facebook<\/a><span class=\"company-name-type\"> Inc.<\/span><\/p>\n<div class=\"paywall\">\n<p>It is a Manhattan Project-like effort that will go on for years, <a href=\"https:\/\/blogs.wsj.com\/cio\/2017\/04\/06\/facebook-ai-chief-yann-lecun-says-machines-are-decades-away-from-matching-the-human-brain\/\" class=\"icon none\">if not decades<\/a>. At Facebook,<\/p>\n<p>            <a href=\"https:\/\/www.wsj.com\/market-data\/quotes\/GOOG\">Alphabet<\/a><span class=\"company-name-type\"> Inc.\u2019s<\/span><\/p>\n<p>      Google and other companies and universities around the world, scientists are working to create better <a href=\"https:\/\/www.wsj.com\/articles\/the-future-of-deep-learning-is-unsupervised-ai-pioneers-say-11581330600\" class=\"icon none\">AI that learns through self-supervision<\/a>, teaching itself about the world the way people do. The immediate goal is broader AI that can perform multiple tasks, but that could one day lead to artificial general intelligence, or machines with humanlike thinking. <\/p>\n<div data-layout=\"wrap\n              \" data-layout-mobile=\"inline\" class=\"\n        media-object\n        type-InsetNewsletterSignup\n          wrap\n    scope-web|mobileapps\n  article__inset\n        article__inset--type-InsetNewsletterSignup\n          article__inset--wrap\n  \"><\/p>\n<div class=\"webui-newsletter-inset\" id=\"webui_newsletter_inset\">\n<div class>\n<div id=\"newsletter-card-container-392\" class=\"ArticleInsetNewsletterCard--newsletter-card-container-2GnNXjTI7DexTep6Qis6jQ \">\n<div>\n<hr class=\"ArticleInsetNewsletterCard--partial-hr-1DeVSSYxozlKjCBa1oFn3c \">\n<h4 class=\"ArticleInsetNewsletterCard--newsletter-signup-title-1lX_qTsd_qyFPWrS_ofBJG \">Newsletter Sign-up<\/h4>\n<\/div>\n<div class=\"ArticleInsetNewsletterCard--card-container-3VXU1TS3nFYBuuf9q3mP8e \">\n<div class=\"ArticleInsetNewsletterCard--card-info-container-37bi2ktbJVdyEsdc-uYjAt \">\n<h5 class=\"ArticleInsetNewsletterCard--label-name-2rbcs8VV-ceE9OxoHClnle \" data-newsletter-id=\"392\"> The Future of Everything <\/h5>\n<div class=\"ArticleInsetNewsletterCard--card-description-1S-H-t1w6h_dYWFOt6BFx8 \">\n<p> A look at how innovation and technology are transforming the way we live, work and play.  <\/p>\n<\/div>\n<\/div>\n<div class=\"ArticleInsetNewsletterCard--card-preview-container-2mEOUfGQBlj6H8uBpaphAY \"><button class=\"ArticleInsetNewsletterCard--preview-button-2h1GRLCV5UMaPAEewBOFef \" role=\"button\">PREVIEW<\/button><\/p>\n<div class=\"ArticleInsetNewsletterCard--card-subscribed-toggle-2KDMDxN4LCkAFSuDczurXa \">\n<div class=\"WSJTheme--toggle-GFd0LdLLfIhqmhzjqy7wE WSJTheme--off-aeii_MP2bdKjiJgvab9N2 \">\n<div class=\"WSJTheme--ball-35glNbedW_7WkpR9-dxAox \"><\/div>\n<\/div>\n<div class=\"ArticleInsetNewsletterCard--card-subscribe-text-LcKbJ_LYY1seOqDZJCZt8 \">SUBSCRIBE<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr class=\"ArticleInsetNewsletterCard--partial-hr-1DeVSSYxozlKjCBa1oFn3c \"><\/div>\n<\/div>\n<\/div><\/div>\n<p>Scientists have had some early success with self-supervised learning, especially in areas such as natural-language processing used in mobile phones, smart speakers and customer-service bots. <\/p>\n<div id=\"cx-article-inline-newsletter-tile\"><\/div>\n<p>While there is no assurance of success, ongoing innovations could help unlock applications from the creation of fully autonomous vehicles to virtual tutors for school children, more effective medical-imaging analysis and the real-time identification of hate speech on Facebook, according to Dr. LeCun. <\/p>\n<p>Today, training AI is time-consuming and expensive, Dr. LeCun says, and for all that effort it can\u2019t comprehend concepts such as gravity. You might be able to teach today\u2019s AI about the dangers of driving a car too close to a cliff, he says, \u201cbut you would have to crash thousands of times.\u201d<\/p>\n<div data-layout=\"inline\n              \" data-layout-mobile class=\"\n        media-object\n        type-InsetMediaIllustration\n          inline\n    scope-web|mobileapps\n  article__inset\n        article__inset--type-InsetMediaIllustration\n          article__inset--inline\n  \"><\/p>\n<figure class=\"\n        media-object-image\n        enlarge-image\n        renoImageFormat-\n        img-inline\n        article__inset__image\n      \" itemscope itemtype=\"http:\/\/schema.org\/ImageObject\"><\/p>\n<div style=\"padding-bottom:74.7107438016529%;\" data-mobile-ratio=\"74.7107438016529%\" data-layout-ratio=\"74.7107438016529%\" data-subtype=\"photo\" class=\"image-container  responsive-media article__inset__image__image\">\n        <img decoding=\"async\" srcset=\"https:\/\/images.wsj.net\/im-220325?width=140&amp;size=custom_1210x904 140w, https:\/\/images.wsj.net\/im-220325?width=540&amp;size=custom_1210x904 540w, https:\/\/images.wsj.net\/im-220325?width=620&amp;size=custom_1210x904 620w, https:\/\/images.wsj.net\/im-220325?width=700&amp;size=custom_1210x904 700w, https:\/\/images.wsj.net\/im-220325?width=860&amp;size=custom_1210x904 860w, https:\/\/images.wsj.net\/im-220325?width=1260&amp;size=custom_1210x904 1260w\" sizes=\"(max-width: 140px) 100px,\n(max-width: 540px) 500px,\n(max-width: 620px) 580px,\n(max-width: 700px) 660px,\n(max-width: 860px) 820px,\n1260px\" src=\"https:\/\/images.wsj.net\/im-220325?width=620&amp;size=custom_1210x904\" data-enlarge=\"https:\/\/images.wsj.net\/im-220325?width=1260&amp;size=custom_1210x904\" alt title=\"Using imaging from an overhead camera, AI models are trained in a self-supervised way to...\">\n      <\/div><figcaption class=\"wsj-article-caption article__inset__image__caption\" itemprop=\"caption\">\n<h4 class=\"wsj-article-caption-content\">Using imaging from an overhead camera, AI models are trained in a self-supervised way to predict how every car moves relative to a central car.<\/h4>\n<p>      <span class=\"wsj-article-credit article__inset__image__caption__credit\" itemprop=\"creator\"><br \/>\n            <span class=\"wsj-article-credit-tag\"><br \/>\n              Photo:<br \/>\n            <\/span><br \/>\n        YANN LECUN<br \/>\n          <\/span><br \/>\n  <\/figcaption><\/figure>\n<\/p><\/div>\n<p>In self-supervised learning, AI can train itself without the need for external labels attached to the data. It doesn\u2019t need to be told \u201cthis is a cat\u201d to identify other images of cats, or to distinguish between images of \u201ccats\u201d and \u201cchairs.\u201d<\/p>\n<p>Dr. LeCun is now focused on applying self-supervised learning to a more complex problem, computer vision, in which computers interpret images such as a person\u2019s face. <\/p>\n<p>The next phase, possible over the next decade or two, is to try to create a machine that can \u201clearn how the world works by watching video, listening to audio and reading text,\u201d he says.<\/p>\n<p>Dr. LeCun, who shared the 2018 A.M. Turing Award for his work on deep learning, joined Facebook in 2013.<\/p>\n<div data-layout=\"wrap\n              \" data-layout-mobile class=\"\n        media-object\n        type-InsetRichText\n          wrap\n    scope-web\n  article__inset\n        article__inset--type-InsetRichText\n          article__inset--wrap\n  \"><\/p>\n<div class=\"media-object-rich-text\">\n<h4>SHARE YOUR THOUGHTS<\/h4>\n<p> <em>In what areas do you think self-learning AI might be transformative? Join the conversation below.<\/em> <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p>\u201cYann\u2019s a visionary,\u201d says Kyunghyun Cho, a professor of computer science and data science at New York University\u2019s Courant Institute of Mathematical Sciences, where Dr. LeCun also is affiliated.<\/p>\n<p>The push for self-supervised learning is a high priority at Facebook, which is under pressure from lawmakers, outside groups and its own users to crack down harder on misinformation and hate speech. <\/p>\n<p>An <a href=\"https:\/\/www.wsj.com\/articles\/facebook-is-doing-too-little-on-civil-rights-concerns-auditors-say-11594198537\" class=\"icon none\">audit commissioned by Facebook, made public in July<\/a>, found the company had not done enough to police hate speech and other problematic content on its platform, despite investments in AI-based censors and teams of human analysts trained to track down and remove harmful content. <\/p>\n<p>Self-supervised learning, which can strengthen AI-based filters, is \u201cvery important\u201d to detect hate speech in hundreds of languages, Dr. LeCun says. \u201cYou can\u2019t wait for users to flag hate speech. You have to take it down before anyone sees it,\u201d he says. <\/p>\n<p>Not all research is focused on self-supervised learning. Another important approach is called <a href=\"https:\/\/www.wsj.com\/articles\/ai-can-almost-write-like-a-humanand-more-advances-are-coming-11597150800\" class=\"icon none\">neuro-symbolic, which combines two techniques<\/a>, deep learning and symbolic AI. Using this neuro-symbolic approach,<\/p>\n<p>            <a href=\"https:\/\/www.wsj.com\/market-data\/quotes\/IBM\">International Business Machines<\/a><span class=\"company-name-type\"> Corp.<\/span><\/p>\n<p>      is at work on a technology that extends AI\u2019s strength in interpreting human language to machine language. An AI bot works alongside human engineers, reading computer logs to spot a system failure, understand why the system crashed, and offer a remedy. It also can be used to help people write software code, suggesting ideas much as a spell-checker might. <\/p>\n<p>Broader AI could, in time, increase the pace of scientific discovery, given its potential to spot patterns not otherwise evident, says Dario Gil,  director of IBM Research. \u201cIt would help us address huge problems, such as climate change and developing vaccines.\u201d<\/p>\n<p>Until now, the best-performing self-supervised learning has relied on \u201ccontrastive learning,\u201d or using examples of what a thing is not to train the system to recognize the thing itself, according to Michal Valko, a machine learning scientist at DeepMind, a U.K.-based Google division focused on AI. A few images of a dog might be included in a data set of cat images to better illustrate what a cat is. The so-called negative examples were thought to improve the performance of the system but could introduce errors, Dr. Valko says.<\/p>\n<p>A promising idea in self-supervised learning emerged in June, when Dr. Valko and others at DeepMind published a paper outlining a new approach. The DeepMind research showed that these negative examples could be eliminated. <\/p>\n<p>\u201cBy doing so we improve the performance, make the method more robust, and possibly increase the applicability of the method,\u201d he says. <\/p>\n<p>For AI to model and navigate the surrounding world, it will also be important for AI to go beyond predicting the next item in a sequence, one at a time. Right now, natural-language processing, for example, predicts the next word in a sequence by probability. Ultimately, AI that learns in a self-supervised way would be able to predict a sequence of events in an arbitrary order and skip unimportant steps\u2014much like humans learn to go to the store without having to perform each step of the process in the same order every time, says NYU\u2019s Dr. Cho. <\/p>\n<p>The ability to make such nonlinear language predictions is closely related to making longer-term predictions in the physical world, he says. \u201cWe know how to develop a car that can drive by itself and stay in the lane,\u201d he says. But there are unsolved higher-level problems associated with autonomous vehicles where self-learning AI can play a role.<\/p>\n<p>\u201cInstead of saying, how do I change the steering wheel moment to moment, I can just say, \u2018I need to go to the store,\u2019\u201d Dr. Cho says.<\/p>\n<h6>More in The Future of Everything | Artificial Intelligence<\/h6>\n<h6> <a href=\"https:\/\/www.wsj.com\/articles\/the-next-time-you-fly-ai-could-help-ease-the-journey-11597323803?mod=foesummaries\" class=\"icon none\">The Next Time You Fly, AI Could Help Ease the Journey<\/a> <\/h6>\n<p> <em>Pack a self-driving suitcase, clear security through an archway and board a pilotless plane: It\u2019s a far-out vision of the future, but tech companies are working on making it a reality.<\/em> <\/p>\n<h6> <a href=\"https:\/\/www.wsj.com\/articles\/how-a-30-ton-robot-could-help-crops-withstand-climate-change-11597237276?mod=foesummaries\" class=\"icon none\">How a 30-Ton Robot Could Help Crops Withstand Climate Change<\/a> <\/h6>\n<p> <em>What makes a plant thrive in the heat? In the Arizona desert, the \u2018Field Scanalyzer\u2019 is collecting data to learn the answer\u2014and hopefully improve farming for biofuels and food.<\/em> <\/p>\n<h6> <a href=\"https:\/\/www.wsj.com\/articles\/ai-can-almost-write-like-a-humanand-more-advances-are-coming-11597150800\" class=\"icon none\">AI Can Almost Write Like a Human\u2014and More Advances Are Coming<\/a> <\/h6>\n<p> <em>A new language model, OpenAI\u2019s GPT-3, is making waves for its ability to mimic writing, but it falls short on common sense. Some experts think an emerging technique called neuro-symbolic AI is the answer.<\/em> <\/p>\n<h6> <a href=\"https:\/\/www.wsj.com\/articles\/the-changes-ai-will-bring-11597072070?mod=foesummaries\" class=\"icon none\">The Changes AI Will Bring<\/a> <\/h6>\n<p> <em>More efficient criminal justice, \u2018fancy\u2019 digital assistants and a potential catastrophe in the stock market: Six experts weigh in on the biggest challenges\u2014and opportunities\u2014of artificial intelligence.<\/em> <\/p>\n<p> <strong>Write to <\/strong>Steven Rosenbush at <a href=\"mailto:steven.rosenbush@wsj.com\" target=\"_blank\" class=\"icon \" rel=\"noopener noreferrer\">steven.rosenbush@wsj.com<\/a><\/p>\n<\/p><\/div>\n<p style=\"position: absolute;z-index:-1;top:0;left:-15000px;\">Copyright \u00a92020 Dow Jones &amp; Company, Inc. All Rights Reserved. 87990cbe856818d5eddac44c7b1cdeb8<\/p>\n<\/p><\/div>\n<\/p>\n<p>Published at Thu, 13 Aug 2020 15:56:15 +0000<\/p>\n<p><a href=\"https:\/\/www.google.com\/url?rct=j&#038;sa=t&#038;url=https:\/\/www.forbes.com\/sites\/davidteich\/2020\/08\/13\/book-review--turning-point-an-excellent-introduction-to-policy-issues-involving-artificial-intelligence\/&#038;ct=ga&#038;cd=CAIyHDkyYmU1MGQ5NjY1NjYxZTA6Y28udWs6ZW46R0I&#038;usg=AFQjCNGaLaVQdMDErA0FAwqBmGDw8E-a2g\">Book Review \u2013 \u201cTurning Point\u201d, An Excellent Introduction To Policy Issues Involving Artificial &#8230;<\/a><\/p>\n<figure class=\"embed-base image-embed embed-0\" role=\"presentation\" readability=\"1\">\n<div>\n  <img data-recalc-dims=\"1\" decoding=\"async\" data-src=\"https:\/\/i0.wp.com\/specials-images.forbesimg.com\/imageserve\/5f282315f48daeb3a6621465\/960x0.jpg?w=640&#038;ssl=1\" alt=\"Artificial Intelligence Header Image\" data-height=\"548\" data-width=\"876\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\">\n <\/div><figcaption readability=\"2\">\n<p class=\"color-body light-text\"><small>Sergey Tarasov &#8211; stock.adobe.com<\/small><\/p>\n<\/figcaption><\/figure>\n<p>I was recently sent a copy of \u201c<a href=\"https:\/\/www.goodreads.com\/book\/show\/51458063-turning-point\" target=\"_blank\" class=\"color-link\" title=\"https:\/\/www.goodreads.com\/book\/show\/51458063-turning-point\" rel=\"nofollow noopener noreferrer\" data-ga-track=\"ExternalLink:https:\/\/www.goodreads.com\/book\/show\/51458063-turning-point\" aria-label=\"Turning Point\">Turning Point<\/a>: Policymaking in the Era of Artificial Intelligence,\u201d by <a href=\"https:\/\/www.brookings.edu\/experts\/darrell-m-west\/\" target=\"_blank\" class=\"color-link\" title=\"https:\/\/www.brookings.edu\/experts\/darrell-m-west\/\" rel=\"nofollow noopener noreferrer\" data-ga-track=\"ExternalLink:https:\/\/www.brookings.edu\/experts\/darrell-m-west\/\" aria-label=\"Darrell M. West\">Darrell M. West<\/a> and <a href=\"https:\/\/www.brookings.edu\/experts\/john-r-allen\/\" target=\"_blank\" class=\"color-link\" title=\"https:\/\/www.brookings.edu\/experts\/john-r-allen\/\" rel=\"nofollow noopener noreferrer\" data-ga-track=\"ExternalLink:https:\/\/www.brookings.edu\/experts\/john-r-allen\/\" aria-label=\"John R. Allen\">John R. Allen<\/a>, both of the <a href=\"https:\/\/www.brookings.edu\/\" target=\"_blank\" class=\"color-link\" title=\"https:\/\/www.brookings.edu\/\" rel=\"nofollow noopener noreferrer\" data-ga-track=\"ExternalLink:https:\/\/www.brookings.edu\/\" aria-label=\"Brookings Institution\">Brookings Institution<\/a>. It\u2019s a high level overview of issues pertaining to artificial intelligence (AI), issues that impact both governments and industry. It\u2019s an excellent book for middle and upper level management, even with the one significant flaw I noticed.<\/p>\n<p>After the introductory chapter, there are chapters focused on five key business sectors being affected by AI: healthcare, education, transportation, ecommerce (though they still use the hyphen), and defense. The chapters clearly discuss both the opportunities and risks in leveraging AI. It\u2019s no surprise that privacy repeatedly pops up as an important issue. What\u2019s especially useful is that those discussions give both executives and government officials ideas for concern, suggesting potential regulations that might be needed and what actions companies might take on their own to alleviate risks.<\/p>\n<p>It\u2019s in that overview that the one big issue pops up. The chapter in healthcare is excellent except for one missing piece. Regulatory agencies such as the FDA have regular processes to approve new and updated technology. That\u2019s easy to do for hardware and for procedural code, because it\u2019s easy to specify exactly what has changed. In deep learning, it\u2019s not so easy. The algorithms build in those systems are often not made explicit. More transparency is needed for agencies to create policy around changing AI. While the plethora of other healthcare issues is adequately surveyed in the chapter, this is a critical issue and was not mentioned.<\/p>\n<p><fbs-ad position=\"inread\" progressive ad-id=\"article-0-inread\" aria-hidden=\"true\" role=\"presentation\"><\/fbs-ad> <\/p>\n<div class=\"recirc-unit recirc-unit-open\">\n<div class=\"recirc-title\"><span>Recommended For You<\/span><button class=\"recirc-toggle recirc-open\" aria-label=\"Recommended For You\"><svg class=\"fs-icon fs-icon--chevron-down\" viewBox=\"0 0 19.8 19.8\"><path transform=\"rotate(-134.999 7.586 10.187)\" d=\"M2.8 9h9.5v2.4H2.8z\" \/><path transform=\"rotate(-45.001 12.615 10.187)\" d=\"M7.9 9h9.5v2.4H7.9z\" \/><\/svg><\/button><\/div>\n<\/div>\n<p>The rest of the chapters are good, with wide coverage of issues. One small nit I have is in the ecommerce chapter, where the authors state \u201cAlready there are an estimated 31 billion e-commerce deliveries annually in China, compared with 13 billion in the United States.\u201d Those numbers in a void don\u2019t mean much, especially since the population difference is larger than the delivery difference. The percentage of each population are making those purchases would have been more informative.<\/p>\n<p>In the other direction, I thought the chapter on defense was exceptionally good. What made it excellent was that it didn\u2019t stick to they typical media focus on weapons and silly \u201cTerminator\u201d scenarios. It pointed out that, in the cyber age, defense means more than standard weapons enhanced with AI. Cybersecurity is a major defense threat, not only to militaries, but to governments, infrastructure (electricity, dams, etc.) and business. In addition, there\u2019s a clear message to US focused readers, as it\u2019s made clear that the US Department of Defense seems to be lagging adversarial nations in a focus on AI. That this chapter is wonderful should be no surprise given the background of retired General John Allen.<\/p>\n<p>The last three chapters are devoted to overarching issues of AI\u2019s impact on society. In the last one, they provide a list of eight principles that should be considered:<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Accountability<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Fairness<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Human control<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Human rights<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Inclusiveness<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Privacy<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Safety<\/p>\n<p>\u00b7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Transparency<\/p>\n<p>While I have no argument with the list, I do have a problem with the ordering. Transparency shouldn\u2019t be last. It is the cornerstone of showing that the others are being addressed. As mentioned above, deep learning is a black box. Without government regulations mandating transparency, the ability to provide the trust that the other principles are being followed will be lacking. Unfortunately, it\u2019s the most technical of the issues, and technology is one thing that governments have consistently shown they don\u2019t comprehend.<\/p>\n<p>We can look back humorously at former Senator Ted Stevens declaring that the internet was a \u201cseries of tubes\u201d, but managing AI is an even more complex challenge. Unless democratic nations work to ensure that governments are populated with people who understand that technology is critical, the ability to protect the freedom and concepts put forward in \u201cTurning Point\u201d will be difficult.<\/p>\n<p>\u201cTurning Point\u201d is an excellent book that decision makers can use as a tutorial to understand the growing importance of policy related to AI, policy in both the public and private sectors.<\/p>\n<\/p>\n<p>Published at Thu, 13 Aug 2020 14:03:10 +0000<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Facebook AI Chief Pushes the Technology&#8217;s Limits As babies drop spoons and cups from their&#8230;<\/p>\n","protected":false},"author":3,"featured_media":1964,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1963","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/techclot.com\/wp-content\/uploads\/2020\/08\/960x0.jpg?fit=960%2C600&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3orZX-vF","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/1963","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/comments?post=1963"}],"version-history":[{"count":0,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/1963\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media\/1964"}],"wp:attachment":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media?parent=1963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/categories?post=1963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/tags?post=1963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}