{"id":59217,"date":"2017-04-18T06:00:27","date_gmt":"2017-04-18T10:00:27","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=59217"},"modified":"2017-04-18T08:46:39","modified_gmt":"2017-04-18T12:46:39","slug":"the-dark-secret-at-the-heart-of-ai-knight","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2017\/04\/18\/the-dark-secret-at-the-heart-of-ai-knight\/","title":{"rendered":"The Dark Secret at the Heart of AI [Knight]"},"content":{"rendered":"<p><a href=\"https:\/\/www.technologyreview.com\/s\/604087\/the-dark-secret-at-the-heart-of-ai\/\" target=\"_blank\"><strong>The Dark Secret at the Heart of AI<\/strong> <\/a>&#8212; from technologyreview.com by Will Knight<br \/>\n<em>No one really knows how the most advanced algorithms do what they do. That could be a problem.<\/em><\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">The mysterious mind of this vehicle points to a looming issue with artificial intelligence. The car\u2019s underlying AI technology, known as deep learning, has proved very powerful at solving problems in recent years, and it has been widely deployed for tasks like image captioning, voice recognition, and language translation. There is now hope that the same techniques will be able to diagnose deadly diseases, make million-dollar trading decisions, and do countless other things to transform whole industries.<\/p>\n<p style=\"padding-left: 30px;\">But this won\u2019t happen\u2014or shouldn\u2019t happen\u2014unless we find ways of making techniques like deep learning more understandable to their creators and accountable to their users. Otherwise it will be hard to predict when failures might occur\u2014and it\u2019s inevitable they will. That\u2019s one reason Nvidia\u2019s car is still experimental.<\/p>\n<p>&nbsp;<\/p>\n<blockquote><p>\n<span style=\"color: #ff6600;\"><strong>\u201cWhether it\u2019s an investment decision, a medical decision, or maybe a military decision, you don\u2019t want to just rely on a \u2018black box\u2019 method.\u201d<\/strong><\/span><\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<p style=\"padding-left: 30px;\">&#8230;<br \/>\nThis raises mind-boggling questions. As the technology advances, we might soon cross some threshold beyond which using AI requires a leap of faith. Sure, we humans can\u2019t always truly explain our thought processes either\u2014but we find ways to intuitively trust and gauge people. Will that also be possible with machines that think and make decisions differently from the way a human would? We\u2019ve never before built machines that operate in ways their creators don\u2019t understand. How well can we expect to communicate\u2014and get along with\u2014intelligent machines that could be unpredictable and inscrutable? These questions took me on a journey to the bleeding edge of research on AI algorithms, from Google to Apple and many places in between, including a meeting with one of the great philosophers of our time.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Dark Secret at the Heart of AI &#8212; from technologyreview.com by Will Knight No one really knows how the most advanced algorithms do what they do. That could be a problem. Excerpt: The mysterious mind of this vehicle points to a looming issue with artificial intelligence. The car\u2019s underlying AI technology, known as deep [&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":[113,556,139,356,817,86,298,210,403,287,63,391,419,180,353,480,454,195,206,321],"tags":[],"class_list":["post-59217","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-amazon","category-apple","category-artificial-intelligence-agents-llms-and-related","category-bots","category-change","category-data-related-items","category-emerging-technologies","category-ethics","category-europe","category-google","category-human-computer-interaction-hci","category-ideas-teaching","category-innovation","category-moralsvalues","category-society","category-the-downsides-of-technology","category-tools","category-trends","category-united-states"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/59217","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=59217"}],"version-history":[{"count":3,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/59217\/revisions"}],"predecessor-version":[{"id":59220,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/59217\/revisions\/59220"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=59217"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=59217"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=59217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}