Machine Learning – Marta Rivera-Alba el 17 de Abril

El 17 de abril tienes una cita en el Hacklab de moda que tanto te gusta. Tenemos una cita con Marta.

Hora: 20:00
Fecha: Martes 17 de Abril

Para ir abriendo boca se puede visitar la charla de Marta «Inteligencia artificial: desde laneurociencia a la cobertura de riesgos«.

Y lo mismo nos surgen preguntas como las que hemos mandado a Marta y que si tenemos suerte lo mismo nos despeja el martes 17:

  • ¿Existen buenos algoritmos de machine learning libres?
  • ¿Que opinión te merecen proyectos como http://makeinternetnoise.com/ como forma de autodefensa digital?, ¿Crees que como complemento en los navegadores web podría servir para generar falsos perfiles en servicios de google?, es decir, sumado a user-agents aleatorios, uso de diferentes circuitos tor, …
  • ¿Que empleos consideras que actualmente son perfectamente sustituidos por algoritmos de machine learning?.
  • ¿Tendría que ser libre el código de tracking y procesamiento de los datos que recopilan empresas privadas sobre los/las usuarios/as?, es decir, ¿los sujetos de estudio merecen transparencia?, ¿si fuésemos realmente conscientes nos comportaríamos de otra forma?.
  • ¿Crees que el uso de machine learning nos llevará a una sociedad más justa?, ¿Que ejemplos de uso de machine learning crees que nos llevaríana una sociedad más justa?
  • ¿Como convencerías a los «luditas del machine learning» de que esto es beneficioso para la sociedad?
  • Bajo el capitalismo, los medios de producción son propiedad privada del capitalista, es decir, un medio de explotar el trabajo asalariado. Los trabajadores carecen de tales medios y se ven obligados a vender su fuerza de trabajo y a crear para éstos plusvalía. En esta fase postcapitalista que empezamos a imaginar, ¿es el código el equivalente a esos medios de producción privada de los que hablaba Marx?
  • ¿Para cuando un cerebro positrónico? 😉
  • ¿Cómo crees que cambiará el machine learning con los ordenadores cuánticos?
  • ¿Cómo es tu episodio Black Mirror de Machine Learning?

 

 

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