The thing is that we do not really know what consciousness is or how it arises. So I think we need to be careful when we decide how it does not arise, or what “true” consciousness is.
I think it is likely that consciousness emerges on the aggregate macro-level from processes that are simple on the micro-level. Such phenomena do lend themselves to be described or indeed understood best with statistics.
In particular, I think it’s a mistake to assume that consciousness can only arise by mimicking the exact functioning of a human brain. (Noting here that there is debate on whether other animals can be considered conscious with no clear cutoff or criteria). However I think that the criteria that you mentioned (continuous rewiring of neurons, oscillations of activity et.c.) could easily be added to an ML model, and I think those exact things will be added to ML models down the line.
The thing is that we do not really know what consciousness is or how it arises. So I think we need to be careful when we decide how it does not arise, or what “true” consciousness is.
I think it is likely that consciousness emerges on the aggregate macro-level from processes that are simple on the micro-level. Such phenomena do lend themselves to be described or indeed understood best with statistics.
In particular, I think it’s a mistake to assume that consciousness can only arise by mimicking the exact functioning of a human brain. (Noting here that there is debate on whether other animals can be considered conscious with no clear cutoff or criteria). However I think that the criteria that you mentioned (continuous rewiring of neurons, oscillations of activity et.c.) could easily be added to an ML model, and I think those exact things will be added to ML models down the line.