Interactions with large language models (LLMs) have led to the suggestion that these
models may soon be conscious. From the perspective of neuroscience, this position is …

Whether current or near-term AI systems could be conscious is a topic of scientific interest
and increasing public concern. This report argues for, and exemplifies, a rigorous and …

In popular media, there is often a connection drawn between the advent of awareness in
artificial agents and those same agents simultaneously achieving human or superhuman …

Can octopuses feel pain and pleasure? What about crabs, shrimps, insects, or spiders? How
do we tell whether a person unresponsive after severe brain injury might be suffering? When …

Over the last few years, large neural generative models, capable of synthesizing
semantically rich passages of text or producing complex images, have recently emerged as …

While falsifiability has been broadly discussed as a desirable property of a theory of
consciousness, in this paper, we introduce the meta-theoretic concept of “Universality” as an …

Recent deep learning models can efficiently combine inputs from different modalities (eg,
images and text) and learn to align their latent representations or to translate signals from …

We demonstrate that if consciousness is relevant for the temporal evolution of a system's
states--that is, if it is dynamically relevant--then AI systems cannot be conscious. That is …

As the apparent intelligence of artificial neural networks (ANNs) advances, they are
increasingly likened to the functional networks and information processing capabilities of the …

Deep learning has seen a movement towards the concepts of modularity, module
coordination and sparse interactions to fit the working principles of biological systems …