How might we use cognitive modeling to consider the ways in which antiblackness, and racism more broadly, impact the design and development of AI systems? We provide a discussion and an example towards an answer to this question. We use the ACT-R/{\Phi} cognitive architecture and an existing knowledge graph system, ConceptNet, to consider this question not only from a cognitive and sociocultural perspective, but also from a physiological perspective. In addition to using a cognitive modeling as a means to explore how antiblackness may manifest in the design and development of AI systems (particularly from a software engineering perspective), we also introduce connections between antiblackness, the Human, and computational cognitive modeling. We argue that the typical eschewing of sociocultural processes and knowledge structures in cognitive architectures and cognitive modeling implicitly furthers a colorblind approach to cognitive modeling and hides sociocultural context that is always present in human behavior and affects cognitive processes.

翻译：我们如何利用认知建模来思考反黑人种族主义以及更广泛的种族主义对人工智能系统设计开发的影响？本文通过讨论和实例为回答此问题提供思路。我们采用ACT-R/Φ认知架构与现有知识图谱系统ConceptNet，不仅从认知和社会文化视角，更从生理学视角审视该问题。除运用认知建模探究反黑人种族主义在AI系统设计开发中（尤其是软件工程层面）的可能表现方式外，本文还揭示了反黑人种族主义、人类主体与计算认知建模之间的关联。我们认为，认知架构与认知建模中普遍回避社会文化过程与知识结构的做法，实质上延续了认知建模的"色盲"方法，掩盖了始终存在于人类行为中并影响认知过程的社会文化语境。