%0 Journal Article %T 人工智能的“拜技术教”逻辑及其对社会分工的结构性变革——兼论马克思社会分工理论的当代挑战与时代价值
The Logic of “Technology Fetishism” in Artificial Intelligence and Its Structural Changes to the Social Division of Labor—On the Contemporary Challenge and Value of Marx’s Theory of Social Division of Labor %A 刘欣 %J Advances in Philosophy %P 59-66 %@ 2169-2602 %D 2024 %I Hans Publishing %R 10.12677/ACPP.2024.131009 %X 人工智能正以指数级的速度迅猛发展,其夸张的风靡景象展现出人类对科学技术的痴迷。一方面,人类对科技的掌控不当会导致异化“泛在”,进而被其反噬,最终受制于利润最大化的资本逻辑导向;另一方面,社会的分工结构也在人工智能的影响下悄然变革。传统分工模式中人与人、人与社会的关系被打破,体力劳动者与脑力劳动者的分工格局也发生变化,其界限不再泾渭分明。尽管如此,人工智能语境下的马克思社会分工理论并未失去合理性,相反,它在质疑与挑战中愈辩愈明。人的劳动并未因人工智能的崛起而贬值,活劳动依然是创造价值的唯一源泉;人工智能也无法改变劳动者被资本剥削的事实,消灭私有制是实现人类解放的唯一途径。
Artificial intelligence is developing at an exponential rate, and its exaggerated popularity shows the human obsession with science and technology. On the one hand, human’s improper control of science and technology will lead to alienation “ubiquitous”, and then be eaten back by it, and ultimately be subject to the logic of capital to maximize profits; on the other hand, the division of labor structure of society is also quietly changing under the influence of artificial intelligence. The relationship between man and man, man and society in the traditional mode of division of labor has been broken, and the pattern of division of labor between manual workers and mental workers has also changed, and its boundaries are no longer clear. In spite of this, Marx’s social division of labor theory in the context of artificial intelligence has not lost its rationality, on the contrary, it is increasingly clear in the questioning and challenge. Human labor has not been devalued because of the rise of artificial intelligence, and living labor is still the only source of value creation; artificial intelligence also cannot change the fact that workers are exploited by capital, and the elimination of private property is the only way to achieve human liberation. %K 人工智能,拜技术教,马克思,社会分工
Artificial Intelligence %K Technology Fetishism %K Marx %K Social Division of Labor %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=78806