{"id":7781,"date":"2018-04-08T21:32:21","date_gmt":"2018-04-09T01:32:21","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/dare-to-lie\/"},"modified":"2018-04-09T16:12:53","modified_gmt":"2018-04-09T20:12:53","slug":"dare-to-lie","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/dare-to-lie\/","title":{"rendered":"DARE TO LIE?"},"content":{"rendered":"<p style=\"text-align: center\"><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9DC00000578-5197747-Scientists_have_developed_an_artificial_intelligence_system_that-m-2_1513764841752.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-7776 alignleft\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9DC00000578-5197747-Scientists_have_developed_an_artificial_intelligence_system_that-m-2_1513764841752-300x180.jpg\" alt=\"\" width=\"300\" height=\"180\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9DC00000578-5197747-Scientists_have_developed_an_artificial_intelligence_system_that-m-2_1513764841752-300x180.jpg 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9DC00000578-5197747-Scientists_have_developed_an_artificial_intelligence_system_that-m-2_1513764841752-600x361.jpg 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9DC00000578-5197747-Scientists_have_developed_an_artificial_intelligence_system_that-m-2_1513764841752.jpg 634w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<ul>\n<li style=\"text-align: left\">In this post, I would like to analyze a disruptive lie detection technology for US court trials rather than a commercial company since I believe the system will eventually disrupt the way every single industry and company operates.<\/li>\n<li>Deception Analysis and Reasoning Engine (DARE) leverages Artificial Intelligence to detect deception in the courtroom. DARE is a lie detector as we used to see in superficial futuristic movies developed by researches from University of Maryland and Dartmouth College. The system classifies human micro-expressions. The basis of algorithms are coming from phycology. The researchers trained the Artificial Intelligence to detect five different micro-expressions. Five micro expressions related to lying are frowning, eyebrow raising, lip corners turning up, lips protruded and head side turn. Another source of data is vocal patterns. After watching 15 videos from courtrooms, DARE was tested to tell someone is lying in a video.<\/li>\n<li>Objective function is to optimize the probability of detecting lie a randomly chosen set of cases. Even in its primitive versions, DARE is better than humans in detecting lies. To be specific, DARE scores 0.877 while an average human scores 0. 58. In another metric, scientist claim that DAR can spot lie with 92% accuracy. The system will get better and better with more data. There are also other emerging technologies in lie detection such as eye detectors. AI can spot liars by chasing the movement of eyes. However, other technologies are not considered suitable for courtrooms. Truth serums are illegal or polygraphs aren\u2019t taken seriously. DARE could be the only technology to make a real difference in the justice system.<a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/DARE-1200x530-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-7780 aligncenter\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/DARE-1200x530-1-300x133.png\" alt=\"\" width=\"571\" height=\"253\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/DARE-1200x530-1-300x133.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/DARE-1200x530-1-768x339.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/DARE-1200x530-1-1024x452.png 1024w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/DARE-1200x530-1-600x265.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/DARE-1200x530-1.png 1200w\" sizes=\"auto, (max-width: 571px) 100vw, 571px\" \/><\/a><\/li>\n<li>The skeptics and challenges of the technology is mostly around ethics. Lies in the courtroom is such a critical area that even the remaining 8% can make huge differences in people\u2019s lives. According to Raja Chatilla, executive committee chair for the Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems at the Institute of Electrical and Electronics Engineers (IEEE), DARE should be used with caution. \u201cIf this is going to be used for deciding [\u2026] the fate of humans, it should be considered within its limitations and in context, to help a human \u2014 the judge \u2014 to make a decision,\u201d Chatilla told Futurism, pointing out that \u201chigh probability is not certainty\u201d and not everyone behaves the same way. Plus, there\u2019s a chance of bias based on the data used to train the AI. Regulations around those debates will play the critical role in determining the fate of the technology. Although some may argue that accuracy will hit 100% in a few years, I believe that the system will be always used with human intervention. The combination of human judgement and AI will significantly improve justice system.<\/li>\n<li><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9EC00000578-5197747-Results_showed_that_DARE_managed_to_spot_92_per_cent_of_the_micr-m-1_1513764724164.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-7777 alignleft\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9EC00000578-5197747-Results_showed_that_DARE_managed_to_spot_92_per_cent_of_the_micr-m-1_1513764724164-300x198.jpg\" alt=\"\" width=\"300\" height=\"198\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9EC00000578-5197747-Results_showed_that_DARE_managed_to_spot_92_per_cent_of_the_micr-m-1_1513764724164-300x198.jpg 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9EC00000578-5197747-Results_showed_that_DARE_managed_to_spot_92_per_cent_of_the_micr-m-1_1513764724164-600x396.jpg 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2018\/04\/4778E9EC00000578-5197747-Results_showed_that_DARE_managed_to_spot_92_per_cent_of_the_micr-m-1_1513764724164.jpg 634w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li>The applications are of course beyond the court room trial videos. It is even beyond just intelligence or crime interventions. Lie detection has potential to change the way society lives dramatically. A black mirror like world is getting real and closer. Imagine a world with google glasses that has lie detection application inside. Relationships between individuals, businesses will be radically transformed. Boyfriends cannot lie to girlfriends, students cannot lie about cheating on the exams, sales person cannot lie about product qualities. Expression detection has potential to go beyond lies. System can evolve to detect your mood from your cameras and offer you relevant movies or music. Interviews might be more challenging for MBA grads.<\/li>\n<li>Artificial Intelligence will be radically transforming the personal relationships and societal dynamics that can result in unimaginable negative results for the sake of greater good. What might be other interesting applications of micro-expression detection technologies? What is your opinion about the ethical challenges of those technologies?<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Sources:<\/p>\n<p>1.http:\/\/www.dailymail.co.uk\/sciencetech\/article-5197747\/AI-detects-expressions-tell-people-lie-court.html<\/p>\n<p>2.\u00a0http:\/\/money.cnn.com\/2017\/10\/04\/technology\/business\/eyedetect-lies-polygraph\/index.html<\/p>\n<p>3.https:\/\/futurism.com\/new-ai-detects-deception-bring-end-lying-know-it\/<\/p>\n<p>4.https:\/\/www.newscientist.com\/article\/mg21028182-900-the-truth-about-lie-detection\/<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deception Analysis and Reasoning Engine (DARE) leverages Artificial Intelligence to detect deception in the courtroom. The researchers trained the Artificial Intelligence to detect five different micro-expressions. Five micro expressions related to lying are frowning, eyebrow raising, lip corners turning up, lips protruded and head side turn.<\/p>\n","protected":false},"author":2672,"featured_media":7782,"comment_status":"open","ping_status":"closed","template":"","categories":[1273,29,2237,2236],"class_list":["post-7781","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-artificial-intelligence","category-big-data","category-court","category-lie","hck-taxonomy-industry-public-administration","hck-taxonomy-country-united-states"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/competing-with-data-challenge\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DARE TO LIE? - Digital Innovation and Transformation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/dare-to-lie\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DARE TO LIE? - Digital Innovation and Transformation\" \/>\n<meta property=\"og:description\" content=\"Deception Analysis and Reasoning Engine (DARE) leverages Artificial Intelligence to detect deception in the courtroom. 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