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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 ...
Artificial intelligence is becoming more and more sophisticated every year, what would it mean for humans if it one day achieves true consciousness?
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 ...
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.
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.
AI and AI ethics researchers Timnit Gebru, Emily M. Bender, Margaret Mitchell, and Angelina McMillan-Major have argued that discussion of existential risk distracts from the immediate, ongoing harms from AI taking place today, such as data theft, worker exploitation, bias, and concentration of power. [139]
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.