人工智能技术的社会特征

N. V. Danielyan
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摘要

文章探讨了由于人工智能(AI)技术的出现和发展,有关主体对客体的认知能力的思想的现代转变。国立电子科技大学(俄罗斯莫斯科)的科学家和工程师们在人工智能领域的研究成果是本研究的基础和素材。他们的分析得出结论,人类距离实现 "强人工智能 "还相当遥远。我们需要在人工智能材料和技术基础上实现质的突破。在文章的推测过程中,作者运用了霍金的 "依赖模型的现实主义",得出结论认为,现代科学认知的目的不是描述客观现实,而是以某种明确的方式组织主观感知。因此,认知的目的是完善认知模型,允许主体 "捕捉 "现实。马图拉纳和瓦雷拉的自组织理论以及冯-福尔斯特的 "二阶控制论 "完全证实了这一观点。由于人工智能技术的发展导致认知过程中的主观性边界 "模糊",因此文章提出了一些摆脱当前理解中的后非经典科学思维的前景。作者的结论是,现代世界正朝着另一种认识论范式发展,一场新的科学革命在所难免。
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Social Character of Artificial Intelligence Technologies
The article considers modern transformations of the ideas concerning subject’s cognitive abilities towards object because of the emergence and development of artificial intelligence (AI) technologies. The developments of scientists and engineers from National Research University of Electronic Technology (Moscow, Russia) in the field of artificial intelligence have been taken as a foundation and material of this research. Their analysis allows making a conclusion that the humanity is rather far from the realization of ‘strong artificial intelligence’. We need a qualitative breakthrough in AI material and technological basis for it. Applying ‘model-dependent realism’ by S. Hawking in the course of the speculations in the article, the author concludes that the purpose of cognition in modern science is not to describe an objective reality, but to organize its subjective perception by some definite way. So, the purpose of cognition is the perfection of cognition models permitting a subject ‘to capture’ the reality. This idea is completely confirmed by Maturana and Varela’s autopoiesis theory and von Foerster’s ‘second-order cybernetics’. The article drafts some prospects of moving away from post-nonclassical scientific thinking in its current understanding, because the development of AI technologies results in ‘blurring’ borders of subjectivity in the cognition process. The author concludes that the modern world is moving in another epistemological paradigm where a new scientific revolution is inevitable.
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