Brain Inspired Access Synthetic Consciousness Using A Neural Network Cluster

We are embarking on identifying rudiments of accountability for actions performed by the emerging AI models just as we expect blended teams of human and AI systems. A fundamental step on this path is to define how an AI model can be said to be conscious of its actions. We propose a novel model for synthetic consciousness and argue that this model is useful for AI accountability. Synthetic consciousness is separate from any notion of AI that might be endowed with artificial or emergent consciousness. The traditional sense of sentience is not pertinent to our model. The traditional sense of sapience is also not relevant to our model. With our proposed model, we aim to ascribe a basic sense of accountability for AI system-generated behavior that bears consequential impacts. The present framework is rooted in the neurology of the brain macro-structure, which we simulate using a cluster of neural networks.