Using a cognitive architecture to consider antiBlackness in design and development of AI systems

Fuente: arXiv
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Autor principal: Dancy, Christopher L.
Formato: Preprint
Publicado: 2022
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author Dancy, Christopher L.
author_facet Dancy, Christopher L.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2207_00644
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Using a cognitive architecture to consider antiBlackness in design and development of AI systems
Dancy, Christopher L.
Computers and Society
Artificial Intelligence
I.2.1; I.2.7; K.4.2
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.
title Using a cognitive architecture to consider antiBlackness in design and development of AI systems
topic Computers and Society
Artificial Intelligence
I.2.1; I.2.7; K.4.2
url https://arxiv.org/abs/2207.00644