{"id":61211,"date":"2017-10-31T08:44:22","date_gmt":"2017-10-31T12:44:22","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=61211"},"modified":"2017-10-31T08:53:16","modified_gmt":"2017-10-31T12:53:16","slug":"with-technologies-like-these-how-will-we-be-able-to-tell-the-real-deal","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2017\/10\/31\/with-technologies-like-these-how-will-we-be-able-to-tell-the-real-deal\/","title":{"rendered":"With technologies like these, how will we be able to tell the real deal?"},"content":{"rendered":"<p><a href=\"https:\/\/qz.com\/1115353\/new-research-from-nvidia-shows-that-the-era-of-easily-faked-ai-generated-photos-is-quickly-emerging\/\" target=\"_blank\" rel=\"noopener\"><strong>The era of easily faked, AI-generated photos is quickly emerging<\/strong><\/a> &#8212; from qz.com by Dave Gershgorn<\/p>\n<p><em>Excerpt<span style=\"color: #800000;\"> (emphasis DSC):<\/span><\/em><\/p>\n<p style=\"padding-left: 30px;\">Until this month, it seemed that GAN-generated images [where GAN stands for \u201cgenerative adversarial networks\u201d] that could fool a human viewer were years off. But last week research released by Nvidia, a manufacturer of graphics processing units that has cornered the market on deep learning hardware, shows that <strong><span style=\"color: #800000;\">this method can now be used to generate high-resolution, believable images of celebrities, scenery, and objects.<\/span> <\/strong>GAN-created images are also already being sold as replacements for fashion photographers\u2014a startup called Mad Street Den told Quartz earlier this month it\u2019s working with North American retailers to replace clothing images on websites with generated images.<\/p>\n<p>&nbsp;<\/p>\n<p><em><span style=\"color: #800000;\">From DSC:<\/span><\/em><br \/>\n<span style=\"color: #800000;\"> So AI can now generate realistic photos (i.e., <strong>image creation\/manipulation<\/strong>). And then there&#8217;s Adobe&#8217;s VoCo Project, a sort of a Photoshop for<strong> audio manipulation <\/strong>plus other related technologies out there:<\/span><\/p>\n<ul>\n<li>\u00a0<a href=\"https:\/\/arstechnica.com\/information-technology\/2016\/11\/adobe-voco-photoshop-for-audio-speech-editing\/\" target=\"_blank\" rel=\"noopener\"><strong>Adobe demos \u201cphotoshop for audio,\u201d lets you edit speech as easily as text<\/strong><\/a> &#8212; from arstechnica.com by Sebastian Anthony<br \/>\n<em>VoCo tech ingests speech, deconstructs it, then creates new words from scratch.<\/em><\/li>\n<li><a href=\"http:\/\/www.bbc.com\/news\/technology-37899902\" target=\"_blank\" rel=\"noopener\"><strong>Adobe Voco &#8216;Photoshop-for-voice&#8217; causes concern<\/strong><\/a> &#8212; from bbc.com<br \/>\n<em>A new application that promises to be the &#8220;Photoshop of speech&#8221; is raising ethical and security concerns.<\/em><\/li>\n<li><a href=\"https:\/\/deepmind.com\/blog\/wavenet-generative-model-raw-audio\/\" target=\"_blank\" rel=\"noopener\"><strong>WaveNet: A Generative Model for Raw Audio<\/strong><\/a> &#8212; from deepmind.com<br \/>\n<em>WaveNets are able to generate speech which mimics any human voice<\/em><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #800000;\">So I guess it&#8217;s like the first article concludes:<\/span><\/p>\n<blockquote><p><span style=\"color: #ff6600;\"><strong>The era of easily-faked photos is quickly emerging\u2014much as it did when Photoshop became widely prevalent\u2014so it\u2019s a good time to remember we shouldn\u2019t trust everything we see.<\/strong><\/span><\/p><\/blockquote>\n<p><span style=\"color: #800000;\">&#8230;and perhaps we&#8217;ll need to add, &#8220;we shouldn&#8217;t trust everything we <strong><em>hear<\/em><\/strong> either.&#8221; But how will the average person with average tools know the real deal? The concept of watermarking visuals\/audio may be increasingly involved. From the ending of <a href=\"http:\/\/www.bbc.com\/news\/technology-37899902\" target=\"_blank\" rel=\"noopener\">bbc.com article<\/a>: <\/span><\/p>\n<blockquote><p>For its part, Adobe has <a class=\"story-body__link-external\" href=\"https:\/\/blogs.adobe.com\/conversations\/2016\/11\/lets-get-experimental-behind-the-adobe-max-sneaks.html?scid=social_20161104_67557166&amp;adbid=794645451827879936&amp;adbpl=tw&amp;adbpr=6270422\" target=\"_blank\" rel=\"noopener\">talked of its customers using Voco<\/a> to fix podcast and audio book recordings without having to rebook presenters or voiceover artists.<\/p>\n<p>But a spokeswoman stressed that this did not mean its release was imminent.<\/p>\n<p>&#8220;[It] may or may not be released as a product or product feature,&#8221; she told the BBC.<\/p>\n<p>&#8220;No ship date has been announced.&#8221;<\/p>\n<p>In the meantime, Adobe said it was researching ways to detect use of its software.<\/p>\n<p><strong>&#8220;Think about watermarking detection,&#8221; <\/strong>Mr Jin said at the demo, referring to a method used to hide identifiers in images and other media.<\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #800000;\"><strong>But again, we see that technology often races ahead. &#8220;Look at what we can do!&#8221;\u00a0 But then the rest of society &#8212; such as developing laws, policies, questions about whether we <em>should<\/em> roll out such technologies, etc. &#8212; needs time to catch up.<\/strong> Morals and ethics do come into play here &#8212; as trust levels are most assuredly at stake.<\/span><\/p>\n<p><span style=\"color: #800000;\">Another relevant article\/topic\/example of this is listed below. (Though I&#8217;m not trying to say that we shouldn&#8217;t pursue self-driving cars. Rather, the topic serves as another example of technologies racing ahead while it takes a while for the rest of us\/society to catch up with them).<\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/www.bizjournals.com\/sanjose\/news\/2017\/10\/26\/nvidia-self-driving-cars-jensen-huang-predicts.html\" target=\"_blank\" rel=\"noopener\"><strong>Nvidia CEO: Expect autonomous vehicles to hit the streets by 2021<\/strong><\/a>\u00a0&#8212; from bizjournals.com by Gina Hall<br \/>\n<em>More than 40 companies, including Intel, Nvidia, Waymo, Tesla, Uber Technologies and Samsung, have secured permits from the California DMV to test self-driving cars on public roads.<\/em><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The era of easily faked, AI-generated photos is quickly emerging &#8212; from qz.com by Dave Gershgorn Excerpt (emphasis DSC): Until this month, it seemed that GAN-generated images [where GAN stands for \u201cgenerative adversarial networks\u201d] that could fool a human viewer were years off. But last week research released by Nvidia, a manufacturer of graphics processing [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[113,354,112,72,8,9,403,35,500,353,480,460,454,195,206,367],"tags":[],"class_list":["post-61211","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-av-audiovisual","category-corporate-business-world","category-daniel-s-christian","category-digital-audio","category-digital-video","category-ethics","category-game-changing-environment","category-hearts-matters-of-the-heart","category-moralsvalues","category-society","category-technology-general","category-the-downsides-of-technology","category-tools","category-trends","category-vendors"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/61211","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=61211"}],"version-history":[{"count":9,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/61211\/revisions"}],"predecessor-version":[{"id":61220,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/61211\/revisions\/61220"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=61211"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=61211"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=61211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}