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The Biological as a Double Limit for Artificial Intelligence: Review and Futuristic Debate

机译:生物是人工智能的双重极限:回顾与未来派辩论

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This paper aims to identify to what extent artificial intelligence (AI) is biologically limited and to launch a debate on the issue of overcoming these limitations. To achieve our goal, we utilized a qualitative research methodology framework, providing an in-depth analysis of AI limitations formulated by prominent scholars within this field of specialization. We found that the biological boundary imposes a double limitation on AI, both from a gnoseological perspective and from a technological perspective. This twofold limitation of AI underpins the idea that as long as the biological cannot be understood, formalized, and imitated, we will not be able to develop technologies that mimic it. By adopting an original approach, our research paper focused on mapping out the twofold limitation of the biological with reference to the success of AI. Special attention was paid to the motivational analysis of this limitation in terms of human existence, the opportunity and utility to create artificial intelligences as superior to the human-like condition. We have opened the door for future debates on the need to decode cellular communication by understanding and developing a natural language of the living cell (N2LC). Based on the present research, we proposed that within the current technological context, biological computers (biocomputing) could represent a so-called invisible hand outstretched by biological systems towards AI.
机译:本文旨在确定人工智能在何种程度上受到生物学的限制,并就克服这些限制的问题展开辩论。为了实现我们的目标,我们利用了定性研究方法框架,对专业领域内知名学者提出的AI局限性进行了深入分析。我们发现,无论是从生物学角度还是从技术角度,生物学边界都对AI施加了双重限制。 AI的双重局限性支撑着这样的思想,即只要无法理解,形式化和模仿生物,我们就无法开发出模仿它的技术。通过采用原始方法,我们的研究论文集中于参照AI的成功绘制生物学的双重局限性。在人类存在,创造优于人类的条件的人工智能的机会和效用方面,对这种局限性的动机分析给予了特别的关注。通过了解和发展活细胞的自然语言(N2LC),我们为将来辩论是否需要解码蜂窝通信打开了大门。根据当前的研究,我们提出,在当前的技术背景下,生物计算机(生物计算)可以代表生物系统向AI伸出的所谓“看不见的手”。

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