How to Design AI for Social Good: Seven Essential Factors
La idea de la IA para el bien común va tomado cuerpo. Este artículo de Floridi presenta siete factores esenciales para futuras iniciativas de la IA para el bien común.
Los factores son
(1) falsifiability and incremental deployment ;
(2) safeguards against the manipulation of predictors ;
(3) receiver-contextualised inter-vention ;
(4) receiver-contextualised explanation and transparent purposes ; (5) pri-vacy protection and data subject consent ;
(6) situational fairness ;
https://www.academia.edu/42615622/How_to_Design_AI_for_Social_Good_Seven_Essential_Factors?email_work_card=title
Adaptado por Aniceto Pérez y Madrid, Filósofo de las Tecnologías y Editor de Actualidad Deep Learning (@forodeeplearn)
Los factores son
(1) falsifiability and incremental deployment ;
(2) safeguards against the manipulation of predictors ;
(3) receiver-contextualised inter-vention ;
(4) receiver-contextualised explanation and transparent purposes ; (5) pri-vacy protection and data subject consent ;
(6) situational fairness ;
https://www.academia.edu/42615622/How_to_Design_AI_for_Social_Good_Seven_Essential_Factors?email_work_card=title
Adaptado por Aniceto Pérez y Madrid, Filósofo de las Tecnologías y Editor de Actualidad Deep Learning (@forodeeplearn)
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