{"id":1246,"date":"2021-09-17T09:25:29","date_gmt":"2021-09-17T09:25:29","guid":{"rendered":"https:\/\/freeman-freeman.com\/?p=1246"},"modified":"2024-02-09T09:26:48","modified_gmt":"2024-02-09T09:26:48","slug":"los-vehiculos-autonomos-se-enfrentan-a-dilemas-eticos","status":"publish","type":"post","link":"https:\/\/freeman-freeman.com\/es\/blog\/are-autonomous-vehicles-challenged-by-ethical-dilemmas\/","title":{"rendered":"\u00bfSe plantean dilemas \u00e9ticos a los veh\u00edculos aut\u00f3nomos?"},"content":{"rendered":"

Aunque a\u00fan faltan d\u00e9cadas para que los veh\u00edculos sean verdaderamente aut\u00f3nomos, los avances tecnol\u00f3gicos no cesan. Los programadores inform\u00e1ticos y los especialistas en inteligencia artificial han trabajado horas extras para encontrar formas inteligentes de que el veh\u00edculo detecte y evite los peligros lo antes posible. Esto incluye a menudo el uso de escenarios hipot\u00e9ticos sin salida, como el infame dilema \u00e9tico conocido como el problema del troleb\u00fas.<\/p>\n

\u00bfQu\u00e9 es el \"problema del carro\"?<\/h2>\n

El problema del carrito es un experimento mental sugerido hace d\u00e9cadas. Se trataba de un escenario filos\u00f3fico sin salida que representaba una situaci\u00f3n imposible con una decisi\u00f3n imposible. Como se sugiri\u00f3 originalmente, el experimento pon\u00eda una elecci\u00f3n en manos de un observador.<\/p>\n

Hay un tranv\u00eda fuera de control que se aproxima a una divisi\u00f3n en Y de su v\u00eda. Si el tranv\u00eda sigue adelante, atropellar\u00e1 y matar\u00e1 a cinco personas atadas a las v\u00edas, incapaces de moverse. Si el observador tira de una palanca, el tranv\u00eda se desviar\u00e1 a otra v\u00eda. En esta v\u00eda hay una persona que tampoco puede moverse. Sin duda se producir\u00e1 una tragedia, pero \u00bfcu\u00e1l es la soluci\u00f3n m\u00e1s \u00e9tica? \u00bfNo hacer nada y dejar que mueran cinco personas o actuar directamente provocando la muerte segura de un individuo?<\/p>\n

Una versi\u00f3n similar y moderna de este dilema es algo que los programadores y expertos en IA deben trabajar para resolver. Un conductor con toda una vida de experiencia tendr\u00e1 dificultades para decidir. \u00bfSer\u00e1 posible dotar a un ordenador basado en el aprendizaje autom\u00e1tico del \u00e1rbol de decisiones necesario para llegar a una conclusi\u00f3n? Es probable que, en \u00faltima instancia, la m\u00e1quina elija la soluci\u00f3n que produzca menos v\u00edctimas mortales, el menor de los males. Pero esto har\u00e1 que, en \u00faltima instancia, los programadores permitan que el ordenador del coche decida y luego emprenda una acci\u00f3n que conduzca directamente a la muerte de un peat\u00f3n humano.<\/p>\n

\u00bfEs posible \"ganar\" una situaci\u00f3n en la que se pierde?<\/h2>\n

Tanto los programadores como los fabricantes de autom\u00f3viles contemplan la resoluci\u00f3n de este tipo de situaciones con un doble enfoque:<\/p>\n

    \n
  1. Sensores avanzados:<\/strong> Con sensores avanzados repartidos por todo el coche, los programadores esperan dar a los veh\u00edculos aut\u00f3nomos m\u00e1s tiempo para analizar una situaci\u00f3n y desarrollar una resoluci\u00f3n satisfactoria<\/a>. Imaginemos el problema del troleb\u00fas: si el observador hubiera tenido un kil\u00f3metro y medio o m\u00e1s para actuar, tal vez podr\u00eda haber realizado m\u00e1s acciones que limitarse a tirar de la palanca.<\/li>\n
  2. Identificaci\u00f3n precoz:<\/strong> El hecho de que muchas de estas situaciones hipot\u00e9ticas se identifiquen como peligros potenciales para la programaci\u00f3n da a los expertos en inteligencia artificial bastante tiempo para trabajar en su resoluci\u00f3n. Comprender que existe un escenario problem\u00e1tico es el primer paso para resolverlo.<\/li>\n<\/ol>\n

    Aunque los fabricantes de veh\u00edculos esperan que los coches autoconducidos reduzcan el n\u00famero de colisiones en carretera<\/a>puede simplemente trasladar la responsabilidad. Si un veh\u00edculo aut\u00f3nomo provoca un accidente, \u00bfqui\u00e9n tiene la culpa? \u00bfEl propietario del veh\u00edculo? \u00bfEl fabricante? \u00bfEl programador? Lamentablemente, puede tratarse de procedimientos judiciales complejos que requieren asesoramiento especializado.<\/p>","protected":false},"excerpt":{"rendered":"

    While truly autonomous vehicles might be decades away, technological advances continue unabated. Computer programmers and specialists in artificial intelligence have worked overtime to figure out clever ways to have the vehicle sense and avoid hazards at the earliest possible moment. This often includes the use of hypothetical, no-win scenarios such as the infamous ethical dilemma … <\/p>\n

    Seguir leyendo “Are autonomous vehicles challenged by ethical dilemmas?”<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-1246","post","type-post","status-publish","format-standard","hentry","category-car-accidents","entry"],"acf":[],"yoast_head":"\nAre autonomous vehicles challenged by ethical dilemmas?<\/title>\n<meta name=\"description\" content=\"While truly autonomous vehicles might be decades away, technological advances continue unabated. Computer programmers and specialists in artificial intelligence have worked overtime to figure out clever ways to have the vehicle sense and avoid hazards at the earliest possible moment. 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