The Problem with Intelligence: Its Value-Laden History and the Future of AI

S. Cave
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引用次数: 25

Abstract

This paper argues that the concept of intelligence is highly value-laden in ways that impact on the field of AI and debates about its risks and opportunities. This value-ladenness stems from the historical use of the concept of intelligence in the legitimation of dominance hierarchies. The paper first provides a brief overview of the history of this usage, looking at the role of intelligence in patriarchy, the logic of colonialism and scientific racism. It then highlights five ways in which this ideological legacy might be interacting with debates about AI and its risks and opportunities: 1) how some aspects of the AI debate perpetuate the fetishization of intelligence; 2) how the fetishization of intelligence impacts on diversity in the technology industry; 3) how certain hopes for AI perpetuate notions of technology and the mastery of nature; 4) how the association of intelligence with the professional class misdirects concerns about AI; and 5) how the equation of intelligence and dominance fosters fears of superintelligence. This paper therefore takes a first step in bringing together the literature on intelligence testing, eugenics and colonialism from a range of disciplines with that on the ethics and societal impact of AI.
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智能的问题:其充满价值的历史和人工智能的未来
本文认为,智能的概念在影响人工智能领域的方式上具有高度的价值,并讨论了其风险和机遇。这种价值负担源于智力概念在统治等级合法化中的历史使用。本文首先简要概述了这种用法的历史,考察了智力在父权制、殖民主义和科学种族主义中的作用。然后,它强调了这种意识形态遗产可能与关于人工智能及其风险和机遇的辩论相互作用的五种方式:1)人工智能辩论的某些方面如何使智能的拜物教永续;2)智能拜物教对科技行业多样性的影响;3)对人工智能的某些希望如何使技术和自然掌握的概念永久化;4)智能与专业阶层的关联如何误导人们对人工智能的关注;5)智能和支配的等式如何助长对超级智能的恐惧。因此,本文迈出了第一步,将智力测试、优生学和殖民主义等一系列学科的文献与人工智能的伦理和社会影响结合起来。
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