{"id":1573,"date":"2018-06-11T18:50:00","date_gmt":"2018-06-11T16:50:00","guid":{"rendered":"https:\/\/eticasfoundation.org\/?p=1573"},"modified":"2023-12-14T09:36:12","modified_gmt":"2023-12-14T08:36:12","slug":"problemas-causados-por-la-mala-aplicacion-del-big-data-cuestionan-el-uso-que-se-esta-dando-a-esta-tecnologia","status":"publish","type":"post","link":"https:\/\/dev.eticasfoundation.org\/es\/problemas-causados-por-la-mala-aplicacion-del-big-data-cuestionan-el-uso-que-se-esta-dando-a-esta-tecnologia\/","title":{"rendered":"Problemas causados por la mala aplicaci\u00f3n del Big Data cuestionan el uso que se est\u00e1 dando a esta tecnolog\u00eda"},"content":{"rendered":"<p><strong>La entidad especializada en tecnolog\u00eda e impacto social Eticas Foundation ha alertado sobre las consecuencias e impactos que la incorporaci\u00f3n de datos err\u00f3neos, corruptos e incompletos al Big Data est\u00e1 teniendo en todo el mundo.<\/strong><\/p>\n\n\n\n<p><strong>Eticas ha analizado estos casos en el que el Big Data se convierte en \u201c<a href=\"https:\/\/eticasfoundation.org\/data-matters\/bad-data\/\"><strong>Bad Data<\/strong><\/a>\u201d a nivel internacional, causando decenas de problemas que afectan a campos tan fundamentales como el policial, la salud o la inmigraci\u00f3n. Adem\u00e1s, ha recogido ejemplos particulares de personas que han experimentado sus consecuencias.<\/strong> Casos aparentemente tan nimios como tener el mismo nombre que otra persona conllev\u00f3 terminar en una lista de morosos con todas las implicaciones que esta situaci\u00f3n acarrea.<\/p>\n\n\n\n<p>El Big Data es una oportunidad para canalizar la inmensa cantidad de datos que se generan por segundo en todo el mundo, es la \u00fanica v\u00eda para poder aglutinarlos, analizarlos y aprovechar todo su potencial. Pero las herramientas que se emplean han de tener todas las garant\u00edas de su correcto funcionamiento ya que las consecuencias pueden ser muy graves.<\/p>\n\n\n\n<p>&#8220;<em>Al hablar de seguridad y datos <strong>parece que la \u00fanica preocupaci\u00f3n se centra en su protecci\u00f3n, pero las compa\u00f1\u00edas que desarrollan soluciones de Big Data no son conscientes de que todos sus procesos deben estar validados de la manera correcta para que los resultados obtenidos de su aplicaci\u00f3n no den soluciones sesgadas ni corrompidas. Evitar estos escenarios es fundamental y en la actualidad no se est\u00e1 realizando con las mejores garant\u00edas como hemos comprobado<\/strong>,<\/em>\" dice <strong>Gemma Galdo<\/strong>n, Presidente de Eticas Foundation. <\/p>\n\n\n\n<p><strong>Casos de \u201cBad Data\u201d en campos como la seguridad, la salud p\u00fablica o la inmigraci\u00f3n<\/strong><\/p>\n\n\n\n<p>La incorporaci\u00f3n de <strong>Bad Data<\/strong> se da en pr\u00e1cticamente todos los campos que construyen el Big Data: los recogidos por Eticas afectan a sectores tan delicados como la salud, la seguridad o la inmigraci\u00f3n. Entre ellos se encuentran:<\/p>\n\n\n\n<ul><li><strong>Sesgo racial en el software predictivo de la Polic\u00eda de Oakland (California)<\/strong>que apuntaba a que en los vecindarios negros se comet\u00edan el doble de delitos relacionados con drogas cuando su incidencia real es similar en toda la localidad. Tambi\u00e9n incurr\u00eda en un sesgo con las comunidades de ingresos bajos que, seg\u00fan el software, presentaban tasas desproporcionadamente m\u00e1s elevadas que las de ingresos altos. La realidad en Oakland es que en todos los barrios, independientemente de su raza o ingresos, los delitos relacionados con drogas son uniformes.<\/li><\/ul>\n\n\n\n<ul><li><strong>Alerta para la salud por las cantidades de plomo en el agua de Washington<\/strong>: el cambio del desinfectante del agua en Washington aument\u00f3 la corrosi\u00f3n en las tuber\u00edas de plomo de la ciudad, elevando la cantidad de este metal en el agua. Tuvieron que realizarse estudios por parte del Centro para el Control y la Prevenci\u00f3n de Enfermedades de EEUU (CDC) para evaluar c\u00f3mo esta consecuencia de la mala recogida de los datos pudo afectar a la salud de sus habitantes, tranquilizando a la ciudadan\u00eda.<\/li><\/ul>\n\n\n\n<ul><li><strong>Estudio fallido de previsi\u00f3n de gripe de Google<\/strong>: el estudio de la previsi\u00f3n de la gripe de Google monitorear\u00eda las b\u00fasquedas de los usuarios e identificar\u00eda los lugares donde muchas personas estaban investigando diversos s\u00edntomas de la gripe. En esos lugares, el programa alertar\u00eda a las autoridades de salud p\u00fablica de que m\u00e1s personas estaban a punto de contraer la gripe. Pero un cambio en el algoritmo de Google ocasion\u00f3 que para ciertas b\u00fasquedas se relacionara con la gripe lo que provoc\u00f3 que se hiciera una previsi\u00f3n del doble de los funcionarios de salud p\u00fablica. Este error fue publicado incluso en la revista Science.<\/li><\/ul>\n\n\n\n<ul><li><strong>Deportaciones por fallos en la recogida de datos por voz<\/strong>: hasta 7.000 estudiantes extranjeros fueron expulsados del Reino Unido debido a errores en los datos de reconocimiento de voz. Los resultados de las pruebas de Educational Testing Services, una compa\u00f1\u00eda con sede en Princeton, estaban basados en un sistema automatizado para identificar pruebas falsas en los resultados que result\u00f3 ser defectuoso.<\/li><\/ul>\n\n\n\n<p>Estos son algunos<strong> <strong>ejemplos de los problemas que puede conllevar la incorporaci\u00f3n de datos err\u00f3neo, corruptos o incompletos al Big Data. Esto no significa que haya que renunciar a sus ventajas <em>\u201cpero s\u00ed que hay que tener un mayor cuidado y prestar m\u00e1s atenci\u00f3n a c\u00f3mo se est\u00e1 ejecutando para evitar el Bad Data\u201d<\/em> concluye Gemma Galdon.<\/strong><\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>The entity specialized in social impact of technology Eticas Foundation has warned about the consequences and impacts that the incorporation of erroneous, corrupt and incomplete data into Big Data is having worldwide. Eticas has analyzed these cases in which the Big Data becomes &#8220;Bad Data&#8221; at an international level, causing dozens of problems that affect [&hellip;]<\/p>","protected":false},"author":1,"featured_media":2552,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[21],"tags":[25],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.5.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Problems caused by the bad application of Big Data question the use that is being given to this technology - Eticas Foundation<\/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:\/\/dev.eticasfoundation.org\/es\/problemas-causados-por-la-mala-aplicacion-del-big-data-cuestionan-el-uso-que-se-esta-dando-a-esta-tecnologia\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Problems caused by the bad application of Big Data question the use that is being given to this technology - Eticas Foundation\" \/>\n<meta property=\"og:description\" content=\"The entity specialized in social impact of technology Eticas Foundation has warned about the consequences and impacts that the incorporation of erroneous, corrupt and incomplete data into Big Data is having worldwide. 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