{"id":63786,"date":"2018-06-19T09:18:42","date_gmt":"2018-06-19T13:18:42","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=63786"},"modified":"2018-06-19T09:18:42","modified_gmt":"2018-06-19T13:18:42","slug":"computers-that-never-forget-a-face-9-other-items-re-artificial-intelligence-ai","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2018\/06\/19\/computers-that-never-forget-a-face-9-other-items-re-artificial-intelligence-ai\/","title":{"rendered":"&#8220;Computers that never forget a face&#8221; + 9 other items re: Artificial Intelligence (AI)"},"content":{"rendered":"<p><strong><a href=\"https:\/\/us4.campaign-archive.com\/?u=aa328e1f564f5fd404f866492&amp;id=da83e6e2b5\" target=\"_blank\" rel=\"noopener\">Computers that never forget a face<\/a> <\/strong>&#8212; from Future Today Institute<\/p>\n<p><em>Excerpts:<\/em><\/p>\n<p dir=\"ltr\" style=\"padding-left: 30px;\">In August,\u00a0<a href=\"https:\/\/www.theverge.com\/2018\/6\/5\/17427150\/facial-recognition-vehicle-face-system-homeland-security-immigration-customs\" target=\"_blank\" rel=\"noopener\">the U.S.\u00a0Customs and Border Protection will\u00a0<\/a>roll out new technology that will scan the\u00a0faces of drivers as they enter and leave the United States. For years, accomplishing that kind of surveillance through a car windshield has been difficult. But\u00a0technology is quickly advancing. This system,\u00a0activated by ambient light sensors, range finders and remote speedometers, uses smart cameras and AI-powered facial recognition technology to compare images in government files with people behind the wheel.<\/p>\n<p id=\"Q9PQiI\" style=\"padding-left: 30px;\"><strong>Biometric borders are\u00a0just the beginning.<\/strong>\u00a0Faceprints are quickly becoming our new fingerprints, and this technology is marching forward with haste. Faceprints are now\u00a0so advanced that\u00a0machine learning algorithms can recognize your unique musculatures and bone structures, capillary systems, and expressions\u00a0using thousands of data points. All the features that make up a unique face are being scanned, captured and analyzed to accurately verify identities. New hairstyle? Plastic surgery? They don\u2019t interfere with the technology\u2019s accuracy.<\/p>\n<p style=\"padding-left: 30px;\"><strong>Why you\u00a0should care.<\/strong>\u00a0Faceprints are\u00a0<a href=\"http:\/\/www.scmp.com\/tech\/start-ups\/article\/2109321\/alipay-rolls-out-worlds-first-smile-pay-facial-recognition-system-kfc\" target=\"_blank\" rel=\"noopener\">already being used<\/a>\u00a0across China for secure payments. Soon, they will be used to customize and personalize your digital experiences. Our Future Today Institute modeling shows myriad near-future applications, including the ability to unlock your smart TV with your face. Retailers will use your face to personalize your in-store shopping experience. Auto manufacturers will start using faceprints to detect if drivers are under the influence of drugs or alcohol and prevent them from driving. It&#8217;s plausible that cars will soon detect if a driver is distracted and take the wheel using an auto-pilot feature.\u00a0On a diet but live with others? Stash junk food in a drawer and program the lock to restrict your access. Faceprints will soon create opportunities for a wide range of sectors, including military, law enforcement, retail, manufacturing and security. But as with all technology, faceprints could lead to the loss of privacy and widespread surveillance.<\/p>\n<p style=\"padding-left: 30px;\"><strong>It&#8217;s possible for both risk and opportunity to coexist.\u00a0<\/strong>The point here is not alarmist hand-wringing, or pointless calls for cease-and-desist demands on the development and use of faceprint technology. Instead, it\u2019s to acknowledge an important emerging trend\u2013\u2013faceprints\u2013\u2013and to think about the associated risks and opportunities for you and your organization well in advance. Approach biometric borders and faceprints\u00a0with your (biometrically unique) eyes wide open.<\/p>\n<p style=\"font-weight: 400; padding-left: 30px;\"><strong>Near-Futures Scenarios (2018 &#8211; 2028):<\/strong><\/p>\n<p style=\"padding-left: 60px;\"><strong>Optimistic<\/strong>:\u00a0<strong>Faceprints make us safer, and they bring us back to physical offices and stores<\/strong><strong>.\u00a0\u00a0<\/strong><\/p>\n<p style=\"padding-left: 60px;\"><strong>Pragmatic<\/strong>:<strong>\u00a0<\/strong><strong>As faceprint\u00a0adoption grows, legal challenges mount.\u00a0<\/strong><br \/>\nIn April,\u00a0<b><a href=\"http:\/\/www.scmp.com\/news\/world\/united-states-canada\/article\/2142067\/facebook-must-face-class-action-lawsuit-over-its\">a U.S. federal judge ruled<\/a><\/b>\u00a0that Facebook must confront a class-action lawsuit that alleges its faceprint technology violates Illinois state privacy laws. Last year, a U.S. federal judge allowed a class-action suit to go forth against\u00a0<b><a href=\"http:\/\/www.chicagotribune.com\/business\/ct-biz-biometrics-shutterfly-lawsuit-20170920-story.html\">Shutterfly, claiming the company violated the Illinois Biometric Information Privacy Act<\/a><\/b>, which ensures companies receive written releases before collecting biometric data, including faces. Companies and device manufacturers, who are early developers but late to analyzing legal outcomes, are\u00a0challenged to balance consumer privacy with new security benefits.<\/p>\n<p style=\"padding-left: 60px;\"><strong>Catastrophic<\/strong>:\u00a0<strong>Faceprints are used for widespread surveillance and authoritative control.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.nbcnews.com\/mach\/science\/how-ai-helping-sports-teams-scout-star-players-ncna882516\" target=\"_blank\" rel=\"noopener\"><strong>How AI is helping sports teams scout star play<\/strong><\/a> &#8212; from nbcnews.com by Edd Gent<br \/>\n<em>Professional baseball, basketball and hockey are among the sports now using AI to supplement traditional coaching and scouting.<\/em><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.nbcnews.com\/mach\/science\/how-ai-helping-sports-teams-scout-star-players-ncna882516\"><img decoding=\"async\" class=\"alignnone size-medium wp-image-63955\" src=\"http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/06\/Hockey2018-1024x798.jpg\" alt=\"\" width=\"100%\" height=\"100%\" srcset=\"http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/06\/Hockey2018-1024x798.jpg 1024w, http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/06\/Hockey2018-150x117.jpg 150w, http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/06\/Hockey2018-768x598.jpg 768w, http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/06\/Hockey2018.jpg 2000w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.educationdive.com\/news\/preparing-students-for-workplace-of-the-future\/525536\/\" target=\"_blank\" rel=\"noopener\"><strong>Preparing students for workplace of the future<\/strong><\/a>\u00a0 &#8212; from educationdive.com by Shalina Chatlani<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">The workplace of the future will be marked by unprecedentedly advanced technologies, as well as a focus on incorporating artificial intelligence to drive higher levels of production with fewer resources. Employers and education stakeholders, noting the reality of this trend, are turning a reflective eye toward current students and questioning whether they will be workforce ready in the years to come.<\/p>\n<p style=\"padding-left: 30px;\">This has become a significant concern for higher education executives, who find their business models could be disrupted as they fail to meet workforce demands. A 2018 Gallup-Northeastern University survey shows that of 3,297 U.S. citizens interviewed, only 22% with a bachelor\u2019s degree said their education left them \u201cwell\u201d or \u201cvery well prepared\u201d to use AI in their jobs.<br \/>\n&#8230;<br \/>\nIn his book &#8220;Robot-Proof: Higher Education in the Age of Artificial Intelligence,&#8221; Northeastern University President Joseph Aoun argued that for higher education to adapt advanced technologies, it has to focus on life-long learning,\u00a0which he said says prepares students for the future by fostering purposeful integration of technical literacies, such as coding and data literacy, with human literacies, such as creativity, ethics, cultural agility and entrepreneurship.<\/p>\n<p style=\"padding-left: 30px;\">\u201cWhen students combine these literacies with experiential components, they integrate their knowledge with real life settings, leading to deep learning,&#8221; Aoun told Forbes.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.cnbc.com\/2018\/06\/12\/amazon-deeplens-use-case-helping-people-with-memory-loss-alzheimers.html\" target=\"_blank\" rel=\"noopener\"><strong>Amazon&#8217;s A.I. camera could help people with memory loss recognize old friends and family<\/strong><\/a> &#8212; from cnbc.com by Christina Farr<\/p>\n<ul>\n<li>Amazon&#8217;s DeepLens is a smart camera that can recognize objects in front of it.<\/li>\n<li>One software engineer, Sachin Solkhan, is trying to figure out how to use it to help people with memory loss.<\/li>\n<li>Users would carry the camera to help them recognize people they know.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/qz.com\/1283405\/microsoft-acquired-an-ai-startup-that-helps-it-take-on-google-duplex\/\"><strong>Microsoft acquired an AI startup that helps it take on Google Duplex<\/strong><\/a> &#8212; from\u00a0qz.com by\u00a0Dave Gershgorn<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">We\u2019re going to talk to our technology, and everyone else\u2019s too. Google proved that\u00a0<a href=\"https:\/\/qz.com\/1275036\/its-googles-turn-to-ask-the-questions\/\" target=\"_blank\" rel=\"noopener\">earlier this month<\/a>\u00a0with a demonstration of artificial intelligence that can hop on the phone to book a restaurant reservation or appointment at the hair salon.<\/p>\n<p style=\"padding-left: 30px;\">Now it\u2019s just a matter of who can build that technology fastest. To reach that goal, Microsoft has\u00a0<a href=\"https:\/\/blogs.microsoft.com\/blog\/2018\/05\/20\/microsoft-acquires-semantic-machines-advancing-the-state-of-conversational-ai\/\" target=\"_blank\" rel=\"noopener\">acquired<\/a>\u00a0conversational AI startup Semantic Machines for an undisclosed amount. Founded in 2014, the startup\u2019s goal was to build AI that can converse with humans through speech or text, with the ability to be trained to converse on any language or subject.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/thenextweb.com\/artificial-intelligence\/2018\/06\/15\/researchers-developed-an-ai-to-detect-deepfakes\/\" target=\"_blank\" rel=\"noopener\"><strong>Researchers developed an AI to detect DeepFakes<\/strong><\/a> &#8212; from thenextweb.com by Tristan Greene<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">A team of researchers from the State University of New York (SUNY) recently developed a method for detecting whether the people in a video are AI-generated. It looks like DeepFakes could meet its match.<\/p>\n<p style=\"padding-left: 30px;\">What it means: Fear over whether computers will soon be able to generate videos that are indistinguishable from real footage may be much ado about nothing, at least with the currently available methods.<\/p>\n<p style=\"padding-left: 30px;\">The SUNY team observed that the training method for creating AI that makes fake videos involves feeding it images \u2013 not video. This means that certain human physiological quirks \u2013 like breathing and blinking \u2013 don\u2019t show up in computer-generated videos. So they decided to build an AI that uses computer vision to detect blinking in fake videos.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.forbes.com\/sites\/forbestechcouncil\/2018\/06\/07\/bringing-it-down-to-earth-four-ways-pragmatic-ai-is-being-used-today\/3\/#1222b6e77ba9\" target=\"_blank\" rel=\"noopener\"><strong>Bringing It Down To Earth: Four Ways Pragmatic AI Is Being Used Today<\/strong><\/a> &#8212; from forbes.com by Carlos Melendez<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">Without even knowing it, we are interacting with pragmatic AI day in and day out. It is used in the automated chatbots that answer our calls and questions and the customer service rep that texts with us on a retail site, providing a better and faster customer experience.<\/p>\n<p style=\"padding-left: 30px;\">Below are four key categories of pragmatic AI and ways they are being applied today.<\/p>\n<p style=\"padding-left: 30px;\">1. Speech Recognition And Natural Language Processing (NLP)<br \/>\n2. Predictive Analytics<br \/>\n3. Image Recognition And Computer Vision<br \/>\n4. Self-Driving Cars And Robots<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/biglawbusiness.com\/billable-hour-makes-no-sense-in-an-ai-world\/\" target=\"_blank\" rel=\"noopener\"><strong>Billable Hour \u2018Makes No Sense\u2019 in an AI World<\/strong><\/a> &#8212; from biglawbusiness.com by Helen Gunnarsson<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">Artificial intelligence (AI) is transforming the practice of law, and \u201cdata is the new oil\u201d of the legal industry, panelist Dennis Garcia said at a recent American Bar Association conference.Garcia is an assistant general counsel for Microsoft in Chicago. Robert Ambrogi, a Massachusetts lawyer and blogger who focuses on media, technology, and employment law, moderated the program.\u201cThe next generation of lawyers is going to have to understand how AI works\u201d as part of the duty of competence, panelist Anthony E. Davis told the audience. Davis is a partner with Hinshaw &amp; Culbertson LLP in New York.<br \/>\n&#8230;<br \/>\nDavis said AI will result in dramatic changes in law firms\u2019 hiring and billing, among other things. The hourly billing model, he said, \u201cmakes no sense in a universe where what clients want is judgment.\u201d Law firms should begin to concern themselves not with the degrees or law schools attended by candidates for employment but with whether they are \u201ccapable of developing judgment, have good emotional intelligence, and have a technology background so they can be useful\u201d for long enough to make hiring them worthwhile, he said.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/healthitanalytics.com\/news\/deep-learning-tool-tops-dermatologists-in-melanoma-detection\" target=\"_blank\" rel=\"noopener\"><strong>Deep Learning Tool Tops Dermatologists in Melanoma Detection<\/strong><\/a> &#8212; from healthitanalytics.com<br \/>\n<em>A deep learning tool achieved greater accuracy than dermatologists when detecting melanoma in dermoscopic images.<\/em><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.wired.com\/story\/apples-plans-to-bring-artificial-intelligence-to-your-phone\" target=\"_blank\" rel=\"noopener\"><strong>Apple&#8217;s plans to bring AI to your phone<\/strong><\/a> &#8212; from wired.com by Tom Simonite<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">HomeCourt is built on tools announced by Federighi last summer, when he launched Apple\u2019s bid to become a preferred playground for AI-curious developers. Known as Core ML, those tools help developers who\u2019ve trained machine learning algorithms deploy them on Apple\u2019s mobile devices and PCs.<\/p>\n<p style=\"padding-left: 30px;\">At Apple\u2019s Worldwide Developer Conference on Monday, Federighi revealed the next phase of his plan to enliven the app store with AI. It\u2019s a tool called Create ML that\u2019s something like a set of training wheels for building machine learning models in the first place. In a demo, training an image-recognition algorithm to distinguish different flavors of ice cream was as easy as dragging and dropping a folder containing a few dozen images and waiting a few seconds. In a session for developers, Apple engineers suggested Create ML could teach software to detect whether online comments are happy or angry, or predict the quality of wine from characteristics such as acidity and sugar content. Developers can use Create ML now but can\u2019t ship apps using the technology until Apple\u2019s latest operating systems arrive later this year.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computers that never forget a face &#8212; from Future Today Institute Excerpts: In August,\u00a0the U.S.\u00a0Customs and Border Protection will\u00a0roll out new technology that will scan the\u00a0faces of drivers as they enter and leave the United States. For years, accomplishing that kind of surveillance through a car windshield has been difficult. But\u00a0technology is quickly advancing. This [&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":[113,354,139,356,359,391,419,482,825,15,216,821,480,195,822],"tags":[],"class_list":["post-63786","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-av-audiovisual","category-apple","category-artificial-intelligence-agents-llms-and-related","category-health","category-human-computer-interaction-hci","category-ideas-teaching","category-intelligent-systems","category-law-schools","category-lifelong-learning","category-microsoft","category-natural-language-processing-nlp","category-society","category-tools","category-voice-recognition-voice-enabled-interfaces"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/63786","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=63786"}],"version-history":[{"count":16,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/63786\/revisions"}],"predecessor-version":[{"id":63969,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/63786\/revisions\/63969"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=63786"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=63786"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=63786"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}