Some crucial decisions in AI design tend to be overlooked or factor choices are assumed implicitly. The question often answered first is what the AI will do, not how it will interact with the rest of the world. This reduces our understanding of the possible types of AI that can be developed and their potential impacts on humanity. As an initial AI taxonomy, I present binary choices for 10 of the subjectively most separable and influential high-level design factors, then give brief examples of several of the 1024 possible systems defined by those choices. This supports a simple binary stream approach to system designation based on translating the stream of choices into decimal notation, giving a short-hand way of referring to systems with different properties that meet specialized needs. Further, underspecified or generic systems can be designated using the binary stream approach as well, a notational feature that supports modeling the impacts of AI systems with selected characteristics.

翻译：人工智能设计中的一些关键决策常被忽视，或因子选择被默认为隐式。通常首先被回答的问题是AI将执行何种任务，而非其与外部世界的交互方式。这削弱了我们对可开发AI潜在类型及其对人类影响的理解。作为初步的AI分类体系，本文针对主观上最具区分性和影响力的10个高级设计因子提出二进制选择方案，并简要举例说明由这些选择定义的1024种可能系统中的若干系统。该方案支持基于选择流转换为十进制记法的简单二进制流系统命名方法，为指代满足特定需求的不同属性系统提供简化表示。此外，未完全指定或通用型系统同样可采用二进制流方法进行命名——这一符号特性有助于对具有特定特征的AI系统进行影响建模分析。