In this paper I describe and reduce to practice an objective protocol for evaluating the cognitive capabilities of a non-human system against human cognition in a laboratory environment. This is important because the existence of a non-human system with cognitive capabilities comparable to those of humans might make once-philosophical questions of safety and ethics immediate and urgent. Past attempts to devise evaluation methods, such as the Turing Test and many others, have not met this need; most of them either emphasize a single aspect of human cognition or a single theory of intelligence, fail to capture the human capacity for generality and novelty, or require success in the physical world. The protocol is broadly Bayesian, in that its primary output is a confidence statistic in relation to a claim. Further, it provides insight into the areas where and to what extent a particular system falls short of human cognition, which can help to drive further progress or precautions.

翻译：在本文中,我描述并减少使用客观的规程来评价非人类系统的认知能力,以对抗实验室环境中人类认知能力,这一点很重要,因为一个与人类认知能力相类似的非人类系统的存在可能立即和紧急地造成一度具有哲学意义的安全和道德问题,过去试图设计评价方法,如图灵试验和其他许多方法,但未能满足这一需要;其中多数尝试强调人类认知的单一方面或单一的理论,未能反映人的能力,使之具有一般性和新颖性,或需要在物质世界中取得成功。该规程大致是巴耶斯语,因为它的主要产出是对索赔的信任度统计。此外,它提供了对特定系统在哪些领域和什么程度上不能满足人类认知的洞察力,有助于推动进一步的进展或预防措施。