Toward a Synthesis of Computational Power and Human Wisdom. Review of a Book by Frank Pasquale «New Laws of Robotics: Defending Human Expertise in the Age of AI»

Dmitry P. Sokolov
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引用次数: 48

Abstract

The article discusses the main ideas of F. Pasquale’s book “New Laws of Robotics: Defending The Human Knowledge in the Age of AI”. In his work, Pasquale actively uses the experience gained over many years in understanding the processes of digitalization, suggesting that the transition to new forms of the economy is not an inevitable catastrophe, but as an opening of the widest range of opportunities for people who are ready to integrate the latest technologies into their lives. The book proposes the laws of robotics, supplementing the classical postulates of A. Asimov, and outlines the contours of a new paradigm for understanding scientific and technological development. This paradigm is based on the idea of synthesisof human expertise with computing power. Pasquale notes that albeit the development of artificial intelligence and robotics will require large-scale reforms of the socio-economic system, the result of them may be not the displacement of people from the labor market, but rather the transformation of machines into assistants for human work. Achieving such a goal, Pasquale emphasizes, necessarily requires that digitalization and automatization have not so much technological as legal and cultural constraints that guide its course. In this case, the introduction of AI will become a factor that increases the value of human expertise, insteadof ending up reshaping the economy in the interests of large corporations and technocratic elites.
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迈向计算能力和人类智慧的综合。书评弗兰克·帕斯夸尔的一本书«机器人的新法律:在人工智能时代捍卫人类的专业知识»
本文讨论了F. Pasquale的著作《机器人新法则:在人工智能时代捍卫人类知识》的主要思想。在他的作品中,Pasquale积极运用多年来在理解数字化过程中获得的经验,表明向新经济形式的过渡并不是一场不可避免的灾难,而是为那些准备将最新技术融入他们生活的人们提供了最广泛的机会。该书提出了机器人的规律,补充了阿西莫夫的经典假设,并概述了理解科学和技术发展的新范式的轮廓。这种模式基于将人类专业知识与计算能力综合起来的想法。Pasquale指出,尽管人工智能和机器人技术的发展需要对社会经济体系进行大规模改革,但其结果可能不是将人们从劳动力市场上取代,而是将机器转变为人类工作的助手。Pasquale强调,要实现这一目标,数字化和自动化必然需要更多的法律和文化约束来引导其进程,而不是技术限制。在这种情况下,人工智能的引入将成为增加人类专业知识价值的一个因素,而不是最终为了大公司和技术官僚精英的利益而重塑经济。
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