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A Critical Review of the Politics of Artificial Intelligent Machines, Alienation and the Existential Risk Threat to America's Labour Force

机译:批判性地回顾了人工智能机器的政治,疏离和对美国劳动力的现有风险威胁

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While an increasing number of scholars are growing weary about the troubling predictions about when Artificial Intelligent Machines (AIMs) will fully acquire the capacity of intentionality - the ability for AIMs to possess the similitude of human-like knowledge for processing data and the knowledge of what is right and wrong in their own eyes, to the detriment of mankind - there are scholars who argue that politicians and the powers that be in the American government, have blatantly disregarded the existential threats magnified in the works of scholars like Katja Grace and Kevin Drum who frankly portrayed with some degree of certainty, an era of job apocalypse among other dangers mankind would be exposed to when AIMs eventually take over. Drawing from the Marxian Alienation Theory, the authors examine the degrees of extinction and existential threat imminent on humanity and the justification and implications for politicizing the predictions made about when AIMs would take over man's job. The ex-post facto research methodology and Derrida's reconstructive and deconstructive analytical method was adopted for evaluating the degree of politicking at play among American politicians. The paper identifies the impending era of mass joblessness as one of the greatest tasks progressive governments and thinkers must grapple with in other to curb this threat. Policy makers and scholars of AIM research must quickly identify pathways for distributing the gains of robot labour, such that its operations will cease to be a threat to mankind.
机译:尽管越来越多的学者对人工智能机器何时将完全获得意图性的令人担忧的预测感到厌倦,但这些能力使人工智能具有与人类相似的知识来处理数据和了解什么的知识。在他们自己的眼中是非是非,对人类有害—有些学者认为,政治家和美国政府的权力公然无视了卡贾·格蕾丝和凯文·德拉姆等学者作品中存在的威胁。坦率地说,他肯定会在AIM最终接手时面临工作启示时代,以及人类面临的其他危险。作者从马克思异化理论出发,考察了濒临灭绝的程度和对人类的生存威胁,以及将AIM何时接管人类工作的预测政治化的理由和含义。事后事实研究方法和德里达的重构性和解构性分析方法被用来评估美国政客的政治活动程度。本文指出,即将到来的大规模失业时代是进步政府和思想家必须努力克服的最大任务之一,以遏制这一威胁。 AIM研究的政策制定者和学者必须迅速确定分配机器人劳动收益的途径,以便其运作不再对人类构成威胁。

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