DESCRIPTION
In this presentation I will argue that present-day intelligent machines, featuring the presently available modes of input and of input analysis procedures, cannot possibly produce identical outputs with those of human brains. The latter produce discriminant responses or publicly accessible behavior, more generally, on the one hand and subjective conscious experiences, on the other. The former only behavior. Specifically, experiences come in several varieties: sensory, affective, noetic. Saving the possibility that the brain contains genetically programmed correlates of some experiences (e.g. general ideas) all varieties of experience appear to derive from sensory ones (visual, auditory, tactile, kinesthetic, gustatory, olfactory). The way that environmental inputs are transformed into neural correlates of sensations is not known and neither is the structure of such correlates. This luck of knowledge constitutes the main reason that the present mode of input processing on the part of intelligent machines cannot be modified so as to produce the artificial analogues of such neural correlates. Consequently, the output of intelligent machines, unlike that of the brain, is limited to publicly accessible behavioral responses.
DETAILS (to be updated)
Course type: Invited lecture
Institution of lecturer: College of Medicine, The University of Tennessee, Health Science Center
LECTURER
Prof. Andrew C. Papanicolaou