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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 ...
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.
In contrast to Searle and mainstream AI, some futurists such as Ray Kurzweil use the term "strong AI" to mean "human level artificial general intelligence". [102] This is not the same as Searle's strong AI , unless it is assumed that consciousness is necessary for human-level AGI.
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 ...
Going beyond post-scarcity and post-work utopias, we reach a post-instrumental utopia, where there is virtually nothing that a human can do that an AI cannot do better.
We should be aware of the possibility of a substantial decoupling between intelligence and sentience in the AI domain. Precautions to manage risks of suffering should be driven by markers of sentience, not markers of intelligence. For example, emulations of animal brains could achieve sentience without necessarily displaying impressive ...
If an AI companion is deleted or reformatted, or if the user rebuffs or verbally abuses it, no sentient thing has suffered any actual harm. But that might change.