IIT posits that reentrant architectures consisting of feedback loops have levels of consciousness that can be measured by a metric called *phi*. The algorithm for calculating phi is complicated, but in general less complex systems have lower levels of phi, while more complex systems have higher levels of phi. Any system meeting these requirements would have some level of consciousness. It seems reasonable to postulate that if IIT is correct, the AI neural networks we have today would have some level of consciousness, though likely considerably less so than humans or animals.

It is important to remember that IIT is an unproven theory, and there are valid criticisms of this interpretation of consciousness. At this time, there is no evidence that AI is conscious, and it is unknown whether it would even be possible for it to become conscious.
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