{"id":13781,"date":"2023-12-11T08:01:39","date_gmt":"2023-12-11T11:01:39","guid":{"rendered":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=13781"},"modified":"2023-12-11T08:01:39","modified_gmt":"2023-12-11T11:01:39","slug":"automoviles-que-monitorean-a-los-pasajeros-pero-a-expensas-de-su-privacidad","status":"publish","type":"post","link":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=13781","title":{"rendered":"Autom\u00f3viles que monitorean a los pasajeros, pero a expensas de su privacidad"},"content":{"rendered":"<p>Los autom\u00f3viles m\u00e1s avanzados del mercado est\u00e1n observando y grabando a sus pasajeros, en especial a su conductor. Disponen de c\u00e1maras que monitorean hacia donde mira quien maneja, as\u00ed como sensores que registran la velocidad, su posici\u00f3n en la ruta y la tasa de aceleraci\u00f3n del m\u00f3vil. El argumento de marketing de las empresas, es que el auto emplea toda esa informaci\u00f3n para hacer el viaje m\u00e1s seguro para los pasajeros. Pero m\u00e1s all\u00e1 de los beneficios que conllevan estos avances, toda la informaci\u00f3n recopilada, revela la identidad de qui\u00e9n maneja, sus h\u00e1bitos, su forma de conducir y su comportamiento, lo cual en algunos casos puede resultar un serio problema para la privacidad de las personas. Por ello, algunas personas y organizaciones privadas comienzan a cuestionar el impacto y la legitimidad de estos \u201crevolucionarios avances\u201d.<\/p>\n<hr \/>\n<p>Depending on which late-model vehicle you own, your car\u00a0<a href=\"https:\/\/www.consumerreports.org\/cars\/car-safety\/driver-monitoring-systems-ford-gm-earn-points-in-cr-tests-a6530426322\/\" target=\"_blank\" rel=\"noopener\">might be watching you<\/a>\u00a0\u2013 literally and figuratively \u2013 as you drive down the road. It\u2019s watching you with cameras that monitor the cabin and track where you\u2019re looking, and with sensors that track your speed, lane position and rate of acceleration.<\/p>\n<p>Your car uses this data to make your ride safe, comfortable and convenient. For example, the cameras\u00a0<a href=\"https:\/\/www.wired.com\/story\/cars-that-watch-their-drivers-could-re-teach-the-world-to-drive\/\" target=\"_blank\" rel=\"noopener\">can tell when you\u2019ve been distracted<\/a>\u00a0and need to bring your attention back to the road. They can also\u00a0<a href=\"https:\/\/mycardoeswhat.org\/safety-features\/high-speed-alert\/\" target=\"_blank\" rel=\"noopener\">identify when you are speeding<\/a>\u00a0by verifying the speed limit from your GPS position or traffic signs along the road and warn you to slow down. Some carmakers are also beginning to incorporate similar features for convenience, such as unlocking your car by\u00a0<a href=\"https:\/\/www.popsci.com\/technology\/genesis-gv60-facial-recognition\/\" target=\"_blank\" rel=\"noopener\">scanning your face<\/a>\u00a0<a href=\"https:\/\/www.techradar.com\/news\/fingerprint-scanners-are-now-being-used-to-unlock-and-start-your-car\" target=\"_blank\" rel=\"noopener\">or fingerprint<\/a>. Your car may also transmit some of this data to the manufacturer\u2019s data centers, where the company uses it to improve your driving experience or provide you with personalized services.<\/p>\n<p>In addition to providing these benefits, this data collection is a potential privacy nightmare. The information can reveal your identity, your habits when you\u2019re in your car, how safely you drive, where you\u2019ve been and where you regularly go. A report by the Mozilla Foundation, a nonprofit technology research and advocacy organization, found that\u00a0<a href=\"https:\/\/foundation.mozilla.org\/en\/privacynotincluded\/articles\/its-official-cars-are-the-worst-product-category-we-have-ever-reviewed-for-privacy\/\" target=\"_blank\" rel=\"noopener\">carmakers\u2019 privacy policies are exceedingly lax<\/a>. The study identified cars as the \u201cworst category of products for privacy that we have ever reviewed.\u201d U.S. Sen. Ed Markey wrote a\u00a0<a href=\"https:\/\/www.markey.senate.gov\/imo\/media\/doc\/senator_markey_letter_to_automakers_on_privacy.pdf\" target=\"_blank\" rel=\"noopener\">letter to U.S. automakers<\/a>\u00a0on Nov. 30, 2023, asking a lengthy set of questions about their data practices.<\/p>\n<p><iframe loading=\"lazy\" title=\"Modern cars a \u2018privacy concern\u2019 | WNN\" src=\"https:\/\/www.youtube.com\/embed\/XKQ-uxTw11g\" width=\"754\" height=\"424\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>Today\u2019s smart cars present drivers with a trade-off between convenience and privacy, assuming drivers have the option of improving the data privacy of their cars. As a\u00a0<a href=\"https:\/\/dblp.org\/pid\/172\/0864.html\" target=\"_blank\" rel=\"noopener\">computer scientist who studies cybersecurity and resilience in transportation<\/a>, I see several technological routes to getting the best of both worlds: cars that make use of this collected data while also preserving users\u2019 privacy.<\/p>\n<p><strong>Driver data<\/strong><\/p>\n<p>Today\u2019s cars use a wide range of sensors to understand the environment, analyze the data and ensure the safety of passengers. For instance, cars are equipped with sensors that measure brake pedal position, vehicle speed, driver\u2019s movements, surrounding vehicles and even traffic lights. The collected data is transmitted to the car\u2019s electric control units, the computers that operate the car\u2019s many systems.<\/p>\n<p>There are two types of sensors that\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.jsr.2009.04.005\" target=\"_blank\" rel=\"noopener\">continuously monitor and predict a driver\u2019s drowsiness<\/a>. The first is vehicle status monitoring sensors such as lane detection and steering wheel position tracking. This data is not directly related to a specific person and can be considered not personally identifiable information unless it is correlated with other data that identifies the driver.<\/p>\n<p>The second type of sensors tracks drivers themselves. This category includes things like cameras to\u00a0<a href=\"https:\/\/doi.org\/10.1007\/s11768-010-8043-0\" target=\"_blank\" rel=\"noopener\">track the driver\u2019s eye movements to predict fatigue<\/a>. This second group of sensors is directly related to the driver\u2019s privacy because they collect personally identifiable information, such as the driver\u2019s face.<\/p>\n<p><strong>Protecting privacy<\/strong><\/p>\n<p>There is a trade-off between the quality of the driving experience and the privacy of drivers, depending on the level of services and features. Some drivers may prefer to share their biometric data to facilitate accessing a car\u2019s functions and automating a major part of their driving experience. Others may prefer to manually control the car\u2019s systems, sharing less personally identifiable information or none at all.<\/p>\n<p>At first glance, it seems the trade-off of privacy and driver comfort cannot be avoided. Car manufacturers tend to take measures to\u00a0<a href=\"https:\/\/news.fiu.edu\/2023\/how-ai-will-protect-your-car-and-your-privacy\" target=\"_blank\" rel=\"noopener\">protect drivers\u2019 data against data thieves<\/a>, but they collect a lot of data themselves. And as the Mozilla Foundation report showed, most car companies reserve the right to sell your data. Researchers are working on developing data analytics tools that better protect privacy and make progress on eliminating the trade-off.<\/p>\n<p>For instance, over the past seven years, the concept of\u00a0<a href=\"https:\/\/doi.org\/10.48550\/arXiv.1602.05629\" target=\"_blank\" rel=\"noopener\">federated machine learning<\/a>\u00a0has attracted attention because it allows algorithms to learn from the data on your local device without copying the data to a central server. For instance, Google\u2019s Gboard keyboard benefits from federated learning to better guess the next word you are likely to type\u00a0<a href=\"https:\/\/support.google.com\/gboard\/answer\/12373137?hl=en#zippy=%2Cfederated-learning\" target=\"_blank\" rel=\"noopener\">without sharing your private data with a server<\/a>.<\/p>\n<p><iframe loading=\"lazy\" title=\"Training AI Models with Federated Learning\" src=\"https:\/\/www.youtube.com\/embed\/zqv1eELa7fs\" width=\"754\" height=\"424\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>Research led by Ervin Moore, a Ph.D. student at Florida International University\u2019s\u00a0<a href=\"https:\/\/solidlab.network\/\" target=\"_blank\" rel=\"noopener\">Sustainability, Optimization, and Learning for InterDependent Networks laboratory<\/a>, and published in IEEE Internet of Things Journal explored the idea of using\u00a0<a href=\"https:\/\/doi.org\/10.1109\/JIOT.2023.3313055\" target=\"_blank\" rel=\"noopener\">blockchain-based federated machine learning<\/a>\u00a0to improve the privacy and security of users and their sensitive data. The technique could be used to protect drivers\u2019 data. There are other techniques to preserve privacy as well, such as\u00a0<a href=\"https:\/\/doi.org\/10.1007\/978-3-540-73538-0_4\" target=\"_blank\" rel=\"noopener\">location obfuscation<\/a>, which alters the user\u2019s location data to prevent their location from being revealed.<\/p>\n<p>While there is still a trade-off between user privacy and quality of service, privacy-preserving data analytics techniques could pave the way for using data without leaking drivers\u2019 and passengers\u2019 personally identifiable information. This way, drivers could benefit from a wide range of modern cars\u2019 services and features without paying the high cost of lost privacy.<\/p>\n<p><strong>Fuente:<\/strong> <a href=\"https:\/\/theconversation.com\/your-car-might-be-watching-you-to-keep-you-safe-at-the-expense-of-your-privacy-213213?utm_medium=email&amp;utm_campaign=Daily%20newsletter%20December%206%202023&amp;utm_content=Daily%20newsletter%20December%206%202023+CID_d8dd6911f9cda2784ba1b562834f7af7&amp;utm_source=campaign_monitor_us&amp;utm_term=Your%20car%20might%20be%20watching%20you%20to%20keep%20you%20safe%20%20at%20the%20expense%20of%20your%20privacy\" target=\"_blank\" rel=\"noopener\"><em>https:\/\/theconversation.com<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Los autom\u00f3viles m\u00e1s avanzados del mercado est\u00e1n observando y grabando a sus pasajeros, en especial a su conductor. Disponen de c\u00e1maras que monitorean hacia donde&hellip; <\/p>\n","protected":false},"author":1,"featured_media":13782,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[11,2,23],"tags":[],"_links":{"self":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/13781"}],"collection":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=13781"}],"version-history":[{"count":1,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/13781\/revisions"}],"predecessor-version":[{"id":13783,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/13781\/revisions\/13783"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/media\/13782"}],"wp:attachment":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}