{"id":57887,"date":"2017-09-29T00:00:00","date_gmt":"2017-09-28T22:00:00","guid":{"rendered":"https:\/\/richardvanhooijdonk.com\/blog\/our-smart-devices-are-making-it-increasingly-difficult-to-commit-crime\/"},"modified":"2021-07-26T13:14:53","modified_gmt":"2021-07-26T11:14:53","slug":"our-smart-devices-are-making-it-increasingly-difficult-to-commit-crime","status":"publish","type":"post","link":"https:\/\/blog.richardvanhooijdonk.com\/en\/our-smart-devices-are-making-it-increasingly-difficult-to-commit-crime\/","title":{"rendered":"Our smart devices are making it increasingly difficult to commit crime"},"content":{"rendered":"<ul class=\"bold-list\">\n<li>Criminals exposed by smart devices and the Internet of Things<\/li>\n<li>Artificial intelligence helps detect frauds<\/li>\n<li>Predictive policing: preventing crimes before they happen<\/li>\n<li>Facial recognition tech can make you obey the law<\/li>\n<li>Robo-cops are here, and they\u2019re real<\/li>\n<li>New tech knows you better than you know yourself<\/li>\n<\/ul>\n<p>Sherlock Holmes and Hercule Poirot rely on a magnifying glass and a sharp mind to solve crimes. But if these fictional characters were put into a contemporary setting, their strategy to fight crime would have to be modified, to say the least. It would probably involve not only a search for \u2018conventional\u2019 pieces of evidence, such as fingerprints or video footage, but they\u2019d also be looking for the <a href=\"https:\/\/techterms.com\/definition\/digital_footprint\">digital footprints<\/a> a suspect leaves when using smart gadgets. And this is something the police worldwide are already doing \u2013 fighting crime using state-of-the-art tech, from smart devices, to artificial intelligence (AI), to <a href=\"https:\/\/blog.richardvanhooijdonk.com\/en\/blog\/from-connected-police-officer-to-robocop-the-future-policing-is-here\/\">intelligent robots<\/a>.<\/p>\n<p><iframe title=\"Our smart devices are making it increasingly difficult to commit crime\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/prcs0fa5VDI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<h2>Criminals exposed by smart devices and the Internet of Things<\/h2>\n<p>We just love our <a href=\"https:\/\/blog.richardvanhooijdonk.com\/en\/blog\/9-new-wearable-health-gadgets-promise-high-tech-health\/\">gadgets<\/a>. Fitbit ensures we stay healthy by monitoring our physical activity and tracking how many steps we take; it even knows when we sleep. And we can\u2019t seem to imagine our lives without smart speakers such as Amazon\u2019s Echo or Google Home. They\u2019re telling us the news while we\u2019re getting ready for work, or even ordering a pizza for us when we just don\u2019t feel like cooking. However, what most of us don\u2019t realise is that those smart devices are tracking our every move and can be used as evidence of our activities. Andy Kleinick, the head of the Los Angeles police department\u2019s cyber crimes section, <a href=\"https:\/\/www.theguardian.com\/technology\/2017\/jun\/23\/smart-devices-solve-crime-murder-internet-of-things\">says<\/a> that everyone is being observed in some way. \u201cI think everyone realises \u2013 good guys, bad guys, cops, robbers \u2013 that everything is being videotaped or tracked somehow.\u201d<\/p>\n<p>And a number of people were caught thanks to data found on their smart devices, Forbes reports. For instance, Richard Debate was charged with murder of his spouse, after his wife\u2019s Fitbit exposed his lie \u2013 \u201cthat a masked intruder assaulted him and killed his wife in their Connecticut home\u201d, The Guardian <a href=\"https:\/\/www.theguardian.com\/technology\/2017\/jun\/23\/smart-devices-solve-crime-murder-internet-of-things\">reports<\/a>. Kleinick noted that, with all the smart gadgets we carry around, it\u2019s become difficult to commit a crime. And even police departments have become more interested in leveraging smart technology to find digital evidence. Kleinick and his team are teaching detectives and police officers about digital evidence and where to direct their attention at crime scenes, because anything from smartwatches, to fitness trackers, to gaming consoles contains data that can be used as evidence. The demand for his courses is huge. \u201cWe can\u2019t keep up with the demand. Soon I\u2019ll be teaching full-time because the [LAPD] chief wants everyone to have some form of cyber-training,\u201d noted Kleinick. However, there are always those who fight any kind of change, and Brian Jackson, a criminal justice scholar at the Rand Corporation, said that \u201cpolice departments, especially smaller ones, struggle to keep pace with the technology\u201d. But with all the opportunities that smart tech offers, there\u2019s no doubt they\u2019ll soon become a weapon of choice against crime.<\/p>\n<figure id=\"attachment_33214\" aria-describedby=\"caption-attachment-33214\" style=\"width: 800px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-33214 size-full\" src=\"https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/sites\/4\/2019\/05\/amazon-echo-1024x512-1.jpg\" alt=\"An Amazon Echo smart speaker on a work desk with two computer monitors behind it\" width=\"800\" height=\"400\"><figcaption id=\"caption-attachment-33214\" class=\"wp-caption-text\">But with all the opportunities that smart tech offers, there\u2019s no doubt they\u2019ll soon become a weapon of choice against crime.<\/figcaption><\/figure>\n<h2>Artificial intelligence helps detect frauds<\/h2>\n<p>Artificial intelligence (AI) and machine learning are no longer just \u2018buzzwords\u2019, nor are they novelties we\u2019re still excited about because we don\u2019t know what to expect. In fact, they\u2019re widely used across sectors \u2013 including security. We do however need all the help we can get to be able to fight any type of crime. Just last year, <a href=\"https:\/\/www.cnbc.com\/2017\/02\/01\/consumers-lost-more-than-16b-to-fraud-and-identity-theft-last-year.html\">according to<\/a> the Javelin Strategy &amp; Research report, \u201csome 15.4 million consumers were victims of identity theft or fraud\u201d. But thanks to AI and machine learning, we can now mitigate fraudulent activities and possibly eradicate them altogether. Supervised machine learning (SML) models for fraud detection are being fed torrents of data to be able to differentiate between \u2018clean\u2019 and \u2018fraudulent\u2019 accounts and activities. But since criminals always tend to find new ways to get around SML systems, new data must be continuously added to the system, and, as Ravi Sandepudi <a href=\"https:\/\/simility.com\/primer-machine-learning-models-fraud-detection-2\/\">writes<\/a>, \u201cthe fastest way to act would be to write customised rules to detect new fraudulent behaviour\u201d. Sandepudi <a href=\"https:\/\/simility.com\/primer-machine-learning-models-fraud-detection-2\/\">explains<\/a> that, in contrast to SML, unsupervised machine learning (UML) models \u201care great at learning sequences and predicting what event would most likely occur next\u201d. As every criminal tends to work in patterns, UML might help officials detect these modi operandi. Both SML and UML will continue to evolve and, hopefully, criminals will be caught before they can hide.<\/p>\n<p><iframe title=\"How Artificial Intelligence Prevents Fraud\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/43vtei6Fq7w?start=77&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<h2>Predictive policing: preventing crimes before they happen<\/h2>\n<p>The concept \u2018predictive policing\u2019 has a bit of a Minority Report feel to it, but for those who haven\u2019t watched the movie, predictive policing prevents crime before it happens. And some police departments have already been equipped with predictive policing programs. Homewood, Pittsburgh, has begun using maps based on algorithms developed by scientists at Carnegie Mellon University to help them locate places \u201cwhere crime is likely to happen\u201d. Contrary to what most might be thinking, it has nothing to do with predicting the future. William Isaac, an analyst at the Human Rights Data Analysis Group and a Ph.D. candidate at Michigan State University, <a href=\"https:\/\/thenewstack.io\/predictive-policing-real-just-not-effective\/\">pointed out<\/a> that \u201cThey\u2019re not predicting the future. What they\u2019re actually predicting is where the next recorded police observations are going to occur.\u201d And it\u2019s not just Pittsburgh that\u2019s testing the \u2018predictive policing\u2019 smart algorithms. For instance, Philadelphia and Miami have begun using HunchLab, \u201ca web-based proactive patrol management system\u201d. <a href=\"https:\/\/www.hunchlab.com\/\">HunchLab<\/a> was embraced in 2014 by the St Louis County Police Department, after the Ferguson shooting. HunchLab provides \u201clists of types of crimes\u201d, points at \u201cthe level of risk for different city areas\u201d, and provides \u201crecommendations about deploying police resources to counter these criminal activities\u201d. But not everybody is excited about it.<\/p>\n<p>Many civil rights and legal experts point at the other side of the coin, claiming that \u201cpredictive technology stokes community resentment by unfairly targeting innocent people, minorities and the vulnerable\u201d. Matthew Harwood and Jay Stanley of the ACLU <a href=\"https:\/\/aeon.co\/essays\/should-we-trust-predictive-policing-software-to-cut-crime\">wrote<\/a> that \u201cCivil libertarians and civil rights activists\u2026 tend to view [predictive policing technology] as a set of potential new ways for the police to continue a long history of profiling and pre-convicting poor and minority youth.\u201d But, as reported in <a href=\"https:\/\/www.wired.com\/insights\/2013\/08\/predictive-policing-using-machine-learning-to-detect-patterns-of-crime\/\">WIRED<\/a>, machine learning can, to a great extent, assist the police by pointing out crime patterns once they are identified, which can help prevent crime. And that\u2019s its main purpose \u2013 to stop crime before it happens.<\/p>\n<h2>Facial recognition tech can make you obey the law<\/h2>\n<p>Facial recognition technology offers immense potential when it comes to security. It\u2019s based on scanning facial features, ranging from skin colour to eye shape, from hair colour to smile lines. Beijing-based startup SenseTime Co. sells its tech to the police as \u2018advanced surveillance systems\u2019. But while there are positive sides to this technology &#8211; as it offers the possibility to identify criminals &#8211; it\u2019s used to \u2018force\u2019 citizens to obey the law. For instance, in the city of Jinan, pictures of jaywalkers are broadcasted to shame them into obeying traffic laws, and as <a href=\"https:\/\/phys.org\/news\/2017-06-china-shames-jaywalkers-facial-recognition.html\">Xinhua reports<\/a>, &#8220;Within 20 minutes, the offender&#8217;s photograph and personal information such as their ID number and home address are displayed on the screen at the crossroad.&#8221;<\/p>\n<figure id=\"attachment_33216\" aria-describedby=\"caption-attachment-33216\" style=\"width: 800px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-33216 size-full\" src=\"https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/sites\/4\/2019\/05\/face-recognition-1024x461-1.jpg\" alt=\"Facial recognition technology mapping random people on the street\" width=\"800\" height=\"360\"><figcaption id=\"caption-attachment-33216\" class=\"wp-caption-text\">Facial recognition technology offers immense potential when it comes to security.<\/figcaption><\/figure>\n<h2>Robo-cops are here, and they\u2019re real<\/h2>\n<p>In order to fight crime, the Dubai police are planning \u201cto have robotic officers make up a quarter of the force by 2030\u201d, Forbes <a href=\"https:\/\/www.forbes.com\/forbes\/welcome\/?toURL=https:\/\/www.forbes.com\/sites\/bernardmarr\/2017\/09\/19\/how-robots-iot-and-artificial-intelligence-are-transforming-the-police\/2\/&amp;refURL=&amp;referrer=#66b9f7242bde\">reports<\/a>. They have touchscreens with which anyone will be able to report a crime. And these robots are pretty smart, too. They speak six languages and can tell whether a person is upset as they can read facial expressions. It\u2019s important to &#8220;find a new way to deal with people&#8221;, <a href=\"http:\/\/www.telegraph.co.uk\/news\/2017\/06\/01\/first-robotic-cop-joins-dubai-police\/\">said<\/a> Brigadier Khaled al-Razzooqi, the head of Smart Services at Dubai police. But their \u2018human\u2019 colleagues will still take care of arrests. Soon, we might see more robotic cops on streets worldwide.<\/p>\n<figure id=\"attachment_33218\" aria-describedby=\"caption-attachment-33218\" style=\"width: 801px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-33218 size-full\" src=\"https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/sites\/4\/2019\/05\/Robocop-1.jpg\" alt=\"A humanoid robotic police officer standing in front of the Burj Khalifa building in Dubai\" width=\"801\" height=\"450\"><figcaption id=\"caption-attachment-33218\" class=\"wp-caption-text\">It\u2019s important to &#8220;find a new way to deal with people&#8221;, said Brigadier Khaled al-Razzooqi, the head of Smart Services at Dubai police.<\/figcaption><\/figure>\n<h2>New tech knows you better than you know yourself<\/h2>\n<p>While advances in machine learning and artificial intelligence offer a lot of options for reinforcing the existing security sector, many are still sceptical due to privacy concerns. However, with smarter algorithms, and systems based on AI tech, we are looking forward to a future free from crime.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Criminals exposed by smart devices and the Internet of Things Artificial intelligence helps detect frauds Predictive policing: preventing crimes before they happen Facial recognition tech can make you obey the law Robo-cops are here, and they\u2019re real New tech knows you better than you know yourself Sherlock Holmes and Hercule Poirot rely on a magnifying [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":45301,"parent":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[2871],"tags":[4218,4321,4338],"article-type":[],"trends":[5485],"class_list":["post-57887","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-government","tag-future","tag-police","tag-security","trends-artificial-intelligence-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Our smart devices are making it increasingly difficult to commit crime - Richard van Hooijdonk Blog<\/title>\n<meta name=\"description\" content=\"IoT, smart robots, and AI to help the police fight crime with new predictive tools. 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