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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 ...
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[98] [99] Because AI is a major factor in singularity risk, a number of organizations pursue a technical theory of aligning AI goal-systems with human values, including the Future of Humanity Institute (until 2024), the Machine Intelligence Research Institute, [96] the Center for Human-Compatible Artificial Intelligence, and the Future of Life ...
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 ...
Conservatives about AI consciousness will, of course, find all of this ridiculous and probably dangerous. If AI technology continues to advance, it will become increasingly murky which side is ...
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.
Book cover of the 1979 paperback edition. Hubert Dreyfus was a critic of artificial intelligence research. In a series of papers and books, including Alchemy and AI, What Computers Can't Do (1972; 1979; 1992) and Mind over Machine, he presented a pessimistic assessment of AI's progress and a critique of the philosophical foundations of the field.