THE PHILOSOPHICAL ISSUE IN MACHINE CONSCIOUSNESS
Piotr Bołtuć
Abstract
Piotr Bołtuć
Abstract
Machines can be conscious, is the claim to be adopted here, upon examination of its different versions. We distinguish three kinds of consciousness: functional, phenomenal and hard consciousness (f-, p- and h-consciousness). Robots are functionally conscious already. There is also a clear project in AI on how to make computers phenomenally conscious, though criteria differ. Discussion about p-consciousness is clouded by the lack of clarity on its two versions: (1) First-person functional elements (here, p-consciousness), and (2) Non-functional (h-consciousness). I argue that: (1) There are sufficient reasons to adopt h-consciousness and move forward with discussion of its practical applications; this does not have anti-naturalistic implications. (2) A naturalistic account of h-consciousness should be expected, in principle; in neuroscience we are some way towards formulating such an account. (3) Detailed analysis of the notion of consciousness is needed to clearly distinguish p- and h-consciousness. This refers to the notion of subject that is not an object and complementarity of the subjective and objective perspectives.(4) If we can understand the exact mechanism that produces h-consciousness we should be able to engineer it. (5) H-consciousness is probably not a computational process (more like a liver-function). Machines can, in principle, be functionally, phenomenally and h-conscious; all those processes are naturalistic. This is the engineering thesis on machine consciousness formulated within non-reductive naturalism.
OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Machines can be conscious, is the claim to be adopted here, upon examination of its different versions. We distinguish three kinds of consciousness: functional, phenomenal and hard consciousness (f-, p- and h-consciousness). Robots are functionally conscious already. There is also a clear project in AI on how to make computers phenomenally conscious, though criteria differ. Discussion about p-consciousness is clouded by the lack of clarity on its two versions: (1) First-person functional elements (here, p-consciousness), and (2) Non-functional (h-consciousness). I argue that: (1) There are sufficient reasons to adopt h-consciousness and move forward with discussion of its practical applications; this does not have anti-naturalistic implications. (2) A naturalistic account of h-consciousness should be expected, in principle; in neuroscience we are some way towards formulating such an account. (3) Detailed analysis of the notion of consciousness is needed to clearly distinguish p- and h-consciousness. This refers to the notion of subject that is not an object and complementarity of the subjective and objective perspectives.(4) If we can understand the exact mechanism that produces h-consciousness we should be able to engineer it. (5) H-consciousness is probably not a computational process (more like a liver-function). Machines can, in principle, be functionally, phenomenally and h-conscious; all those processes are naturalistic. This is the engineering thesis on machine consciousness formulated within non-reductive naturalism.
Key concepts: Consciousness, Naturalism, Cognitive science, Artificial consciousness, Subject (documents), Electromagnetic theories of consciousness, Epistemology, Psychology