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Resumen

La estrategia de "ciencia primero" para la investigación de la inteligencia artificial (IA) ha demostrado ser ineficaz. Un acuerdo de no despliegue aún podría facilitar el desarrollo e investigación responsables de la IA.

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Área de la Ciencia:

Inteligencia artificial
Ética de la IA
Ciencias de la computación

Sus antecedentes:

El enfoque prevaleciente de "la ciencia primero" en la investigación de la inteligencia artificial (IA) no ha abordado adecuadamente las preocupaciones de seguridad.
Este enfoque prioriza el avance rápido sobre la mitigación preventiva del riesgo.

Objetivo del estudio:

Evaluar las deficiencias del modelo "ciencia primero" en la investigación de IA.
Explorar marcos alternativos, como los acuerdos de no despliegue, para garantizar el desarrollo responsable de la IA.

Principales métodos:

Análisis de la trayectoria histórica y los resultados del paradigma de investigación de la IA "ciencia primero".
Examen conceptual de los acuerdos de no despliegue como mecanismo de regulación.

Principales resultados:

El enfoque de "la ciencia primero" ha fracasado manifiestamente para prevenir los riesgos potenciales asociados con la IA avanzada.
Los acuerdos de no despliegue presentan una alternativa viable para fomentar la investigación y el desarrollo responsables de la IA.

Conclusiones:

Es necesario un cambio del modelo de "ciencia primero" a un enfoque más cauteloso y regulado para la IA.
Los acuerdos de no despliegue ofrecen una vía prometedora para equilibrar la innovación con la seguridad en la investigación de la inteligencia artificial.