2021/11/05 by Christopher L. Dancy, P. Khalil Saucier · 3 voices · 33 citations
Computer Science · Neuroscience · Psychology · Social Sciences · #Artificial intelligence #Audit #Cognitive science #Computer science #Confirmation bias #Context (archaeology) #Data science #Epistemology #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Law #Perspective (graphical) #Political science #Politics #Psychology #Psychology of Moral and Emotional Judgment #Racism #Representation (politics) #Social psychology #Sociocultural evolution #Sociology #Software deployment #Software engineering #cs.AI #cs.CY
paper · pdf · doi:10.1109/tts.2021.3125998
published in IEEE Transactions on Technology and Society 3(1), 31-40 (Institute of Electrical and Electronics Engineers) · 10 pages, 3 figures, 2 tables
arxiv created 2021/11/05 · openalex publication_date 2021/11/08 · openalex created_date 2021/11/22 · arxiv updated 2022/01/03 · openalex updated_date 2026/06/30
In this paper, we argue that AI ethics must move beyond the concepts of race-based representation and bias, and towards those that probe the deeper relations that impact how these systems are designed, developed, and deployed. Many recent discussions on ethical considerations of bias in AI systems have centered on racial bias. We contend that antiblackness in AI requires more of an examination of the ontological space that provides a foundation for the design, development, and deployment of AI systems. We examine what this contention means from the perspective of the sociocultural context in which AI systems are designed, developed, and deployed and focus on intersections with anti-Black racism (antiblackness). To bring these multiple perspectives together and show an example of antiblackness in the face of attempts at de-biasing, we discuss results from auditing an existing open-source semantic network (ConceptNet). We use this discussion to further contextualize antiblackness in design, development, and deployment of AI systems and suggest questions one may ask when attempting to combat antiblackness in AI systems.