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Because of that, and the lack of an empirical definition of sentience, directly measuring it may be impossible. Although systems may display numerous behaviors correlated with sentience, determining whether a system is sentient is known as the hard problem of consciousness. In the case of AI, there is the additional difficulty that the AI may ...
AI, at its best, is not a solver of uncertainty but an enabler of its transformation—a mediator of meaning, a catalyst for systemic integrity, and a partner in the ongoing evolution of human ...
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Simply put, the hard-wired model that AI has adopted in recent years is a dead end in terms of computers becoming sentient. To explain why requires a trip back in time to an earlier era of AI hype.
The question of whether artificial intelligences can be sentient is controversial. [36] The AI research community does not consider sentience (that is, the "ability to feel sensations") as an important research goal, unless it can be shown that consciously "feeling" a sensation can make a machine more intelligent than just receiving input from ...
As of 2022, the level of artificial intelligence does not approach any threshold where any of the theories or principles of artificial psychology can even be tested, and therefore, artificial psychology remains a largely theoretical discipline. Even at a theoretical level, artificial psychology remains an advanced stage of artificial intelligence.
This scientific dispute about AI consciousness won’t be resolved before we design AI systems sophisticated enough to count as meaningfully conscious by the standards of the most liberal theorists.
The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science [1] that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, [2] and free will.