First of all, the so-called algorithms in BI are algorithms in imitation of the AI algorithms. They belong properly to human consciousness, which is a complex of millions of mainly brain-based neurons (their sub-neurons, sub-sub-neurons, etc.) and their activities which, together, very much connect and coordinate the consciousness within the body as “embodied” and the world. We do not discuss the brain science of the neurons and their sub-sub-… parts. To a great extent, the activities of the BI and the consciousness that embodies BI as a minute part of it are connected and coordinated within the brain-body nexus and to some extent by the world. This coordination takes place in such a manner that the ontological, connotative, and denotative universals can be conceived only by consciousnesses and not even by BI, let alone AI. If BI may be isolated from consciousnesses, their algorithms and functions may be comparable to those of AI, but BI never exists in isolation from the other brain-and-body functions.
It may be claimed that advanced AI as in some robots and ChatGPT is not a result of memory but generalization. [Video: https://www.youtube.com/watch?v=OFS90-FX6pg] But here the claims of “generalization”, “sentiment neurons”, and “states of mind” are not enough. First of all, the neurons that AI specialists speak of are not living neurons. Secondly, it should be proved that the so-called procedures in neurons due to the results (‘state neurons’ and the unity of many of them called ‘state space’) of input memory (that is clearly learned as mechanically induced, not exactly learned in the manner in which consciousness learns) are themselves being termed generalization based on other imaginative names like sentiment neurons and states of mind, merely due to the generalizations involved in the very machine memory and the receptacles of such memory. Here, generalization is falsely being interpreted by claimants of fantastic AI as something done in consciousness by the intelligence alone.
The learning and recognition of patterns by decreasing entropy is also not a matter of generalization in the sense of what happens in animate objects. Even in children the manner of learning is not merely a result of an intelligence exercise; instead, many other brain functions are involved in this in consciousnesses. Thus, BI is not a prediction machine for AI to be termed so. AI algorithms and strictly BI (i.e., only intelligence, and not the other functions of the brain) algorithms never go beyond the quantitively processed, quantitively defined, and quantitatively interpretable properties of any of the data fed into its procedural memory. It becomes procedural memory and happen to be termed generalization merely because of the volume of state neurons involved in what is termed a state space (of course, it is not a “space”). When intelligence is isolated from all other functions of consciousness, the demerits of BI begin exactly from there and indicate regions far beyond.
For the above reasons, it is not acceptable to describe the demerits of BI in terms merely of the absence of willing, emotions, intentionality, intentions, love, social life, morality, etc. of persons. Unlike in the case of AI, BI has at least some direct organismically based connections to these and to the three theoretical functions of consciousness mentioned above: (1) to discover the foundational Categories and ontological universals behind the objects, phenomena, and data, (2) to find out the social or genetic causes of the abiding emotions, and (3) to imagine the possible non-answers or non-solutions for the problems. It is the mechanistic-scientistic thinking of the experts that delinks from BI these and other non-BI functions of consciousnesses.