The Turing Test

Simone Natale
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Abstract

The relationship between AI and deception was initially explored by Alan Turing, who famously proposed in 1950 a practical test addressing the question “Can machines think?” This chapter argues that Turing’s proposal of the Imitation Game, now more commonly called the Turing test, located the prospects of AI not just in improvements of hardware and software but also in a more complex scenario emerging from the interaction between humans and computers. The Turing test, by placing humans at the center of its design as judges and as conversation agents alongside computers, created a space to imagine and experiment with AI technologies in terms of their credibility to human users. This entailed the discovery that AI was to be achieved not only through the development of more complex and functional computing technologies but also through the use of strategies and techniques exploiting humans’ liability to illusion and deception.
图灵测试
人工智能和欺骗之间的关系最初是由艾伦·图灵(Alan Turing)探索的,他在1950年提出了一个著名的实际测试,以解决“机器能思考吗?”本章认为,图灵提出的模仿游戏(现在更常被称为图灵测试),不仅将人工智能的前景定位在硬件和软件的改进上,而且还定位在人与计算机之间交互产生的更复杂的场景中。图灵测试将人类置于其设计的中心,作为评委和计算机旁边的对话代理,为人工智能技术对人类用户的可信度创造了一个想象和实验的空间。这意味着人们发现,要实现人工智能,不仅需要开发更复杂、更实用的计算技术,还需要利用人类容易产生错觉和欺骗的策略和技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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