Descripción del proyecto
Una nueva forma de dotar de conciencia a la inteligencia artificial
Crear conciencia es uno de los retos más importantes de la inteligencia artificial (IA), un campo que ha avanzado con rapidez en los últimos diez años. Aún queda mucho camino por recorrer antes de que las máquinas puedan igualar las capacidades humanas en cuanto a conciencia y cognición social. El equipo del proyecto ASTOUND, financiado con fondos europeos, pretende dotar a las máquinas de conciencia. La arquitectura de IA del proyecto para la conciencia artificial se basa en la teoría del esquema de atención. Sugiere que el encéfalo construye la conciencia subjetiva como un modelo esquemático de atención y las máquinas pueden atribuir propiedades de conciencia a otros de forma similar. En conjunto, el equipo de ASTOUND se propone crear un agente conversacional virtual capaz de entender el lenguaje natural con mayor precisión y empatía en la toma de decisiones.
Objetivo
In the last decade, deep learning algorithms have enabled AI systems to perform a series of tasks, like speech and image recognition, as well as or better than humans. However, this technology is not going to be enough to deliver human-level intelligence without consciousness. Without understanding the subjective awareness element, it may be impossible to build AI that has a human-like ability to focus its computational resources and intelligently control that focus and interact with people in a socially competent manner. ASTOUND proposes an Integrative Approach For Awareness Engineering to establish consciousness in machines. The approach consists of an AI architecture for Artificial Consciousness based on the Attention Schema Theory (AST), a novel approach to social cognition that reconciles some of the current most debated cognitive neuroscience theories of consciousness. According to the AST, the brain constructs subjective awareness as a schematic model of the process of attention, suggesting that an information-processing machine could attribute consciousness properties to others in a similar way. The AST-based architecture proposed by ASTOUND will combine an Attention Mechanism provided by the attentional layers in a deep neural architecture and a Long Term Memory module allowing interplay between internal and external stimuli (data) with an Attention Schema that will determine empathic and trustworthy decision-making. ASTOUND will first implement this architecture into a virtual conversational agent (i.e. chatbot) to verify the hypothesis that an artificial consciousness based on AST will improve performance in a task of natural language understanding. ASTOUND will provide insights into consciousness that are concrete enough, and mechanistic enough, that engineers can build upon it to facilitate future technologies. The study has the potential to be a toolbox for the construction of an EIC Portfolio in conscious AI.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Convocatoria de propuestas
HORIZON-EIC-2021-PATHFINDERCHALLENGES-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
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