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Los algoritmos de macrodatos y la inteligencia artificial (IA) en la ciencia y la política pueden perpetuar sesgos e injusticias. La innovación responsable requiere centrarse en la resiliencia sistémica y la supervisión participativa, no solo en la eficiencia.

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Área de la Ciencia:

  • Ciencias de la Computación
  • Sociología
  • Políticas Públicas

Sus antecedentes:

  • Los algoritmos de macrodatos y la IA se utilizan cada vez más en la ciencia, la sociedad y las políticas públicas.
  • Estas tecnologías tienen como objetivo mejorar la eficiencia, pero a menudo no logran garantizar la equidad o el empoderamiento.
  • Problemas como el sesgo, el error de medición y la dependencia excesiva de la predicción pueden conducir a resultados injustos y opacos.

Objetivo del estudio:

  • Examinar críticamente los riesgos éticos y los efectos secundarios sociales de los macrodatos y la IA.
  • Abogar por un cambio de la optimización a corto plazo hacia la resiliencia sistémica y la supervisión participativa.
  • Proponer vías para la innovación responsable en tecnologías impulsadas por datos.

Principales métodos:

  • Análisis crítico de la aplicación de algoritmos de macrodatos e IA.
  • Examen de consideraciones éticas, incluido el sesgo, la equidad y la transparencia.
  • Exploración de impactos socioeconómicos y dinámicas de poder.

Principales resultados:

  • La implementación de macrodatos e IA puede exacerbar las desigualdades existentes e introducir nuevos sesgos.
  • La toma de decisiones automatizada puede reemplazar el juicio humano, lo que lleva a una menor equidad y transparencia.
  • La búsqueda de la optimización pura pasa por alto riesgos éticos cruciales y consecuencias sociales.

Conclusiones:

  • La innovación responsable en macrodatos e IA requiere un enfoque en los riesgos éticos y los efectos secundarios sociales.
  • Es crucial una reorientación hacia la «resiliencia sistémica» y la «supervisión participativa».
  • La integración de la ciencia de la complejidad con los valores constitucionales y culturales puede fomentar relaciones simbióticas entre humanos y tecnología.