论文标题
使用认知架构来考虑AI系统的设计和开发中的抗薄弱
Using a cognitive architecture to consider antiBlackness in design and development of AI systems
论文作者
论文摘要
我们如何使用认知建模来考虑反叛性和种族主义更广泛地影响AI系统的设计和开发的方式？我们提供了一个讨论和一个示例，以解决这个问题。我们使用ACT-R/φ认知架构和现有知识图系统ConceptNet，不仅从认知和社会文化的角度考虑了这个问题，而且还从生理角度考虑了这个问题。除了使用认知建模作为探索AIN系统的设计和开发（尤其是从软件工程的角度来看）中如何表现出来的一种手段，我们还引入了反黑人，人类和计算认知建模之间的联系。我们认为，认知建筑和认知建模中社会文化过程和知识结构的典型避免了隐含的认知建模方法，并掩盖了社会文化背景，这些方法始终存在于人类行为中，并影响认知过程。
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/Φ 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.
