{"id":63626,"date":"2018-05-22T09:20:47","date_gmt":"2018-05-22T13:20:47","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=63626"},"modified":"2018-05-22T17:41:17","modified_gmt":"2018-05-22T21:41:17","slug":"googles-talk-to-books-duplex-other-ways-ai-is-making-its-way-into-our-lives-for-good-or-for-ill","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2018\/05\/22\/googles-talk-to-books-duplex-other-ways-ai-is-making-its-way-into-our-lives-for-good-or-for-ill\/","title":{"rendered":"Google&#8217;s &#8220;Talk to Books&#8221; &#038; &#8220;Duplex&#8221;+ other ways AI is making its way into our lives (for good or for ill)"},"content":{"rendered":"<p><a href=\"https:\/\/books.google.com\/talktobooks\/?suggestions=36\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"aligncenter wp-image-63719 size-full\" src=\"http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/05\/TalkToBooks1-Google-May2018.jpg\" alt=\"\" width=\"100%\" height=\"100%\" srcset=\"http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/05\/TalkToBooks1-Google-May2018.jpg 740w, http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/05\/TalkToBooks1-Google-May2018-150x103.jpg 150w\" sizes=\"(max-width: 740px) 100vw, 740px\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/books.google.com\/talktobooks\/?suggestions=36\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"alignnone size-full wp-image-63720\" src=\"http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/05\/TalkToBooks-Google-May2018.jpg\" alt=\"\" width=\"100%\" height=\"100%\" srcset=\"http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/05\/TalkToBooks-Google-May2018.jpg 729w, http:\/\/danielschristian.com\/learning-ecosystems\/wp-content\/uploads\/2018\/05\/TalkToBooks-Google-May2018-137x150.jpg 137w\" sizes=\"(max-width: 729px) 100vw, 729px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.theguardian.com\/technology\/2018\/may\/08\/google-duplex-assistant-phone-calls-robot-human\" target=\"_blank\" rel=\"noopener\"><strong>Google&#8217;s robot assistant now makes eerily lifelike phone calls for you<\/strong><\/a> &#8212; from theguardian.com by Olivia Solon<br \/>\n<em>Google Duplex contacts hair salon and restaurant in demo, adding \u2018er\u2019 and \u2018mmm-hmm\u2019 so listeners think it\u2019s human<\/em><\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">Google\u2019s virtual assistant can now make phone calls on your behalf to schedule appointments, make reservations in restaurants and get holiday hours.<\/p>\n<p style=\"padding-left: 30px;\">The robotic assistant uses a very natural speech pattern that includes hesitations and affirmations such as \u201cer\u201d and \u201cmmm-hmm\u201d so that it is extremely difficult to distinguish from an actual human phone call.<\/p>\n<p style=\"padding-left: 30px;\">The unsettling feature, which will be available to the public later this year, is enabled by a technology called\u00a0Google\u00a0Duplex, which can carry out \u201creal world\u201d tasks on the phone, without the other person realising they are talking to a machine. The assistant refers to the person\u2019s calendar to find a suitable time slot and then notifies the user when an appointment is scheduled.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/thenextweb.com\/artificial-intelligence\/2018\/05\/15\/google-employees-quit-over-the-companys-military-ai-project\/\" target=\"_blank\" rel=\"noopener\"><strong>Google employees quit over the company\u2019s military AI project<\/strong><\/a> &#8212; from thenextweb.com by Tristan Greene<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">About a dozen Google employees reportedly left the company over its insistence on developing AI for the US military through a program called Project Maven. Meanwhile 4,000 others signed a petition demanding the company stop.<\/p>\n<p style=\"padding-left: 30px;\">It looks like there\u2019s some internal confusion over whether the company\u2019s \u201cDon\u2019t Be Evil\u201d motto covers making machine learning systems to aid warfare.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.wired.com\/story\/the-line-between-big-tech-and-defense-work\/\" target=\"_blank\" rel=\"noopener\"><strong>The link between big tech and defense work<\/strong><\/a> &#8212; from wired.com by\u00a0Nitasha Tiku<\/p>\n<p>Except:<\/p>\n<p style=\"padding-left: 30px;\"><span class=\"lede\">FOR MONTHS, A\u00a0<\/span>growing faction of Google employees has tried to force the company to drop out of a controversial military program called Project Maven. More than 4,000 employees, including\u00a0<a href=\"https:\/\/www.nytimes.com\/2018\/04\/04\/technology\/google-letter-ceo-pentagon-project.html\" target=\"_blank\" rel=\"noopener\">dozens of senior engineers<\/a>, have signed a petition asking Google to cancel the contract. Last week,\u00a0<a href=\"https:\/\/gizmodo.com\/google-employees-resign-in-protest-against-pentagon-con-1825729300\" target=\"_blank\" rel=\"noopener\">Gizmodo reported<\/a>\u00a0that a dozen employees resigned over the project. \u201cThere are a bunch more waiting for job offers (like me) before we do so,\u201d one engineer says. On Friday, employees communicating through an internal mailing list discussed refusing to interview job candidates in order to slow the project\u2019s progress.<\/p>\n<p style=\"padding-left: 30px;\">Other tech giants have recently secured high-profile contracts to build technology for defense, military, and intelligence agencies. In March, Amazon\u00a0<a href=\"https:\/\/aws.amazon.com\/blogs\/security\/aws-secret-region-expands-to-include-11-new-services\/\" target=\"_blank\" rel=\"nofollow noopener\">expanded<\/a>\u00a0its newly launched &#8220;Secret Region&#8221;\u00a0<a href=\"https:\/\/aws.amazon.com\/blogs\/publicsector\/announcing-the-new-aws-secret-region\/\" target=\"_blank\" rel=\"nofollow noopener\">cloud services<\/a>\u00a0supporting top-secret work for the Department of Defense. The same week that news broke of the Google resignations,\u00a0<a href=\"https:\/\/www.bloomberg.com\/amp\/news\/articles\/2018-05-16\/microsoft-wins-lucrative-cloud-deal-with-intelligence-community\" target=\"_blank\" rel=\"noopener\">Bloomberg reported<\/a>\u00a0that Microsoft locked down a deal with intelligence agencies. But there\u2019s little sign of the same kind of rebellion among Amazon and Microsoft workers.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.wpxi.com\/news\/aclu-amazon-shouldnt-sell-facerecognition-tech-to-police\/754379240\" target=\"_blank\" rel=\"noopener\"><strong>Amazon urged not to sell facial recognition tool to police<\/strong><\/a> &#8212; from wpxi.com by Gene Johnson<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">Facebook SEATTLE (AP) &#8211; The American Civil Liberties Union and other privacy advocates are asking Amazon to stop marketing a powerful facial recognition tool to police, saying law enforcement agencies could use the technology to &#8220;easily build a system to automate the identification and tracking of anyone.&#8221;<\/p>\n<p style=\"padding-left: 30px;\">The tool, called Rekognition, is already being used by at least one agency &#8211; the Washington County Sheriff&#8217;s Office in Oregon &#8211; to check photographs of unidentified suspects against a database of mug shots from the county jail, which is a common use of such technology around the country.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><em><span style=\"color: #800000;\">From DSC:<\/span><\/em><br \/>\n<span style=\"color: #800000;\">Google&#8217;s C-Suite &#8212; as well as the C-Suites at Microsoft, Amazon, and other companies &#8212; needs to be very careful these days, as they could end up losing the support\/patronage of a lot of people &#8212; including more of their own employees. It&#8217;s not an easy task to know how best to build and use technologies in order to make the world a better place&#8230;to create a dream vs. a nightmare for our future. But just because we can build something, doesn&#8217;t mean we should.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/chatbotsmagazine.com\/the-complete-guide-to-conversational-commerce-e47059293efa\" target=\"_blank\" rel=\"noopener\"><strong>The Complete Guide to Conversational Commerce | Everything you need to know.<\/strong><\/a> &#8212; from chatbotsmagazine.com by Matt Schlicht<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p>What is conversational commerce? Why is it such a big opportunity? How does it work? What does the future look like? How can I get started? These are the questions I\u2019m going to answer for you right now.<br \/>\n&#8230;<br \/>\nThe guide covers:<\/p>\n<ul>\n<li>An introduction to conversational commerce.<\/li>\n<li>Why conversational commerce is such a big opportunity.<\/li>\n<li>Complete breakdown of how conversational commerce works.<\/li>\n<li>Extensive examples of conversational commerce using chatbots and voicebots.<\/li>\n<li>How artificial intelligence impacts conversational commerce.<\/li>\n<li>What the future of conversational commerce will look like.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<blockquote><p><span style=\"color: #ff6600;\">Definition: Conversational commerce is an automated technology, powered by rules and sometimes artificial intelligence, that enables online shoppers and brands to interact with one another via chat and voice interfaces.<\/span><\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.mckinsey.com\/featured-insights\/artificial-intelligence\/notes-from-the-ai-frontier-applications-and-value-of-deep-learning\"><strong>Notes from the AI frontier: Applications and value of deep learning<\/strong><\/a> &#8212; from mckinsey.com by Michael Chui, James Manyika, Mehdi Miremadi, Nicolaus Henke, Rita Chung, Pieter Nel, and Sankalp Malhotra<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p><strong>Artificial intelligence (AI)<\/strong>\u00a0stands out as a transformational technology of our digital age\u2014and its practical application throughout the economy is growing apace. For this briefing,\u00a0<a href=\"https:\/\/www.mckinsey.com\/~\/media\/mckinsey\/global%20themes\/artificial%20intelligence\/notes%20from%20the%20ai%20frontier%20applications%20and%20value%20of%20deep%20learning\/mgi_notes-from-ai-frontier_discussion-paper.ashx\" target=\"_blank\" rel=\"noopener\"><em>Notes from the AI frontier: Insights from hundreds of use cases<\/em><\/a>\u00a0(PDF\u2013446KB), we mapped both traditional analytics and newer \u201cdeep learning\u201d techniques and the problems they can solve to more than 400 specific use cases in companies and organizations. Drawing on McKinsey Global Institute research and the applied experience with AI of McKinsey Analytics, we assess both the practical applications and the economic potential of advanced AI techniques across industries and business functions. Our findings highlight the substantial potential of applying deep learning techniques to use cases across the economy, but we also see some continuing limitations and obstacles\u2014along with future opportunities as the technologies continue their advance. Ultimately, the value of AI is not to be found in the models themselves, but in companies\u2019 abilities to harness them.<\/p>\n<p>It is important to highlight that, even as we see economic potential in the use of AI techniques, the use of data must always take into account concerns including data security, privacy, and potential issues of bias.<\/p>\n<ol>\n<li><a href=\"https:\/\/www.mckinsey.com\/featured-insights\/artificial-intelligence\/notes-from-the-ai-frontier-applications-and-value-of-deep-learning?cid=other-eml-nsl-mgi-mck-oth-1805&amp;hlkid=2d16314dbeb34a7da1813e2d3f023dff&amp;hctky=1187667&amp;hdpid=5767ad8b-bf52-4971-8322-d74e8537c106#part1\" target=\"_blank\" rel=\"noopener\">Mapping AI techniques to problem types<\/a><\/li>\n<li><a href=\"https:\/\/www.mckinsey.com\/featured-insights\/artificial-intelligence\/notes-from-the-ai-frontier-applications-and-value-of-deep-learning?cid=other-eml-nsl-mgi-mck-oth-1805&amp;hlkid=2d16314dbeb34a7da1813e2d3f023dff&amp;hctky=1187667&amp;hdpid=5767ad8b-bf52-4971-8322-d74e8537c106#part2\" target=\"_blank\" rel=\"noopener\">Insights from use cases<\/a><\/li>\n<li><a href=\"https:\/\/www.mckinsey.com\/featured-insights\/artificial-intelligence\/notes-from-the-ai-frontier-applications-and-value-of-deep-learning?cid=other-eml-nsl-mgi-mck-oth-1805&amp;hlkid=2d16314dbeb34a7da1813e2d3f023dff&amp;hctky=1187667&amp;hdpid=5767ad8b-bf52-4971-8322-d74e8537c106#part3\" target=\"_blank\" rel=\"noopener\">Sizing the potential value of AI<\/a><\/li>\n<li><a href=\"https:\/\/www.mckinsey.com\/featured-insights\/artificial-intelligence\/notes-from-the-ai-frontier-applications-and-value-of-deep-learning?cid=other-eml-nsl-mgi-mck-oth-1805&amp;hlkid=2d16314dbeb34a7da1813e2d3f023dff&amp;hctky=1187667&amp;hdpid=5767ad8b-bf52-4971-8322-d74e8537c106#part4\" target=\"_blank\" rel=\"noopener\">The road to impact and value<\/a><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p class=\"static-page-header\"><a href=\"https:\/\/www.re-work.co\/blog\/ai-for-good\" target=\"_blank\" rel=\"noopener\"><strong>AI for Good<\/strong><\/a> &#8212; from re-work.co by Ali Shah, Head of Emerging Technology and Strategic Direction &#8211; BBC<\/p>\n<div class=\"grid-x grid-padding-x blog-post__author-info\">\n<div class=\"small-12 cell\">\n<p class=\"blog-post__author-info__name\"><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">What AI for good is really trying to ask is how we might develop and apply AI so that it makes a positive difference to society. Since the material question is about the change in society we would like to see, then we must first define the change we are hoping for before we can judge how AI might help. There are many areas of society that we might choose to consider, but I will focus on two interrelated issues.<\/p>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/qz.com\/1276781\/algorithms-are-making-the-same-mistakes-assessing-credit-scores-that-humans-did-a-century-ago\/\" target=\"_blank\" rel=\"noopener\"><strong>Algorithms are making the same mistakes assessing credit scores that humans did a century ago<\/strong> <\/a>\u2014 from qz.com by Rachel O\u2019Dwyer<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; &nbsp; Google&#8217;s robot assistant now makes eerily lifelike phone calls for you &#8212; from theguardian.com by Olivia Solon Google Duplex contacts hair salon and restaurant in demo, adding \u2018er\u2019 and \u2018mmm-hmm\u2019 so listeners think it\u2019s human Excerpt: Google\u2019s virtual assistant can now make phone calls on your behalf to schedule appointments, make reservations in [&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":[329,354,556,356,387,174,433,298,343,32,210,141,533,63,391,419,180,482,124,102,216,821,345,486,66,312,822,299],"tags":[],"class_list":["post-63626","post","type-post","status-publish","format-standard","hentry","category-24x7x365-access","category-av-audiovisual","category-amazon","category-artificial-intelligence-agents-llms-and-related","category-business","category-career-development","category-communications","category-data-related-items","category-education","category-education-technology","category-emerging-technologies","category-engagement-engaging-students","category-experimentation","category-google","category-human-computer-interaction-hci","category-ideas-teaching","category-innovation","category-intelligent-systems","category-intelligent-tutoring","category-learning","category-microsoft","category-natural-language-processing-nlp","category-reading","category-real-world-assignments","category-student-related","category-user-experience-ux","category-voice-recognition-voice-enabled-interfaces","category-workplace"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/63626","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=63626"}],"version-history":[{"count":28,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/63626\/revisions"}],"predecessor-version":[{"id":63734,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/63626\/revisions\/63734"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=63626"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=63626"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=63626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}