{"id":1140,"date":"2019-04-09T23:42:57","date_gmt":"2019-04-09T23:42:57","guid":{"rendered":"http:\/\/techclot.com\/index.php\/2019\/04\/09\/googles-ai-chief-on-why-you-shouldnt-be-afraid-of-ai\/"},"modified":"2019-04-09T23:42:57","modified_gmt":"2019-04-09T23:42:57","slug":"googles-ai-chief-on-why-you-shouldnt-be-afraid-of-ai","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2019\/04\/09\/googles-ai-chief-on-why-you-shouldnt-be-afraid-of-ai\/","title":{"rendered":"Google&#8217;s AI Chief on Why You Shouldn&#8217;t Be Afraid of AI"},"content":{"rendered":"<figure >\n<blockquote><p>     <span>&#8220;<\/span>I\u2019ve been interested in A.I. since I was a kid. I focused my Ph.D. on it. My first novel was a parable about the dangers of being fearful of it. For over 20 years, I\u2019ve worked to help people understand it.<span>&#8221;<\/span>   <\/blockquote><figcaption class=\"source\">&mdash; Astro Teller, Google<\/figcaption><\/figure>\n<p>The field of A.I., of using computers to perform complex tasks as well as a human, is not new. People have been using deep learning with neural networks, a major subfield of A.I., for 40 years. A car used it to drive itself across the United States in 1995. But things started to change in 2010 and 2011 when a new set of academic papers identified the potential for machine learning models to become much better with scale: hundreds of times as many parameters for the algorithms and thousands of times as much data to train on. Computer systems working on a massively increased scale could produce not just quantitative growth, but a qualitative improvement in what machine learning could accomplish.<\/p>\n<p><iframe scrolling=\"no\" allowfullscreen=\"\" data-src=\"\/\/www.youtube.com\/embed\/KS9TYg6KZng?wmode=opaque&amp;enablejsapi=1\" width=\"854\" frameborder=\"0\" height=\"480\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\"> <\/iframe>&#8220;Taking over the world is an intensely human thing to want to do,&#8221; says Astro Teller, in a short interview conducted at the 2017 Aspen Ideas Festival. At Google X, Teller studies and develops artificial intelligence. Here, he argues that current frenzy over the topic might be overblown.<\/p>\n<p>When you consider the ways A.I. meets or supersedes human performance, it is a normal reaction to be anxious about the change that represents. As with most new technologies, when people sit and think about what&#8217;s going to happen, they don&#8217;t make lists of the good stuff. And we have to have compassion for that. We cannot ignore the challenges presented by A.I.<\/p>\n<p> <ins data-ad-slot=\"5939622089\" data-ad-client=\"ca-pub-6519338693755664\" class=\"adsbygoogle\" data-ad-format=\"fluid\" data-ad-layout=\"in-article\"><\/ins> <\/p>\n<p>No one would go back 90 years and say, &#8220;Down with bulldozers!&#8221; and get out the shovels. Every time humanity has invented a new bulldozer, we&#8217;ve been able to go bigger, deeper, faster. A.I. will do the same. It will be a lever to help human minds solve problems the world faces.<\/p>\n<p>  \t<a href=\"http:\/\/www.popularmechanics.com\/technology\/robots\/news\/a28645\/googles-alphabet-astro-teller-ai\/\" class=\"sqs-block-button-element--small sqs-block-button-element\" target=\"_blank\">Read More<\/a><br \/>\n<a rel=\"nofollow\" href=\"https:\/\/www.artificial-intelligence.blog\/news\/googles-ai-chief-on-why-you-shouldnt-be-afraid-of-ai\">2019 Artificial Intelligence News &#8211; AI News<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;I\u2019ve been interested in A.I. since I was a kid. I focused my Ph.D. on&#8230;<\/p>\n","protected":false},"author":1,"featured_media":2336,"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":[3336,3335,1334,594],"class_list":["post-1140","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-afraid","tag-chief","tag-googles","tag-shouldnt"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/techclot.com\/wp-content\/uploads\/2020\/08\/4G1jb9.jpg?fit=500%2C325&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3orZX-io","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/1140","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\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/comments?post=1140"}],"version-history":[{"count":0,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/1140\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media\/2336"}],"wp:attachment":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media?parent=1140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/categories?post=1140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/tags?post=1140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}