2014/07/01 by Christopher Charles Santos-Lang · 1 citation
Social Sciences · Psychology · Engineering · #Experimental Behavioral Economics Studies #Ethics and Social Impacts of AI #Evolutionary Game Theory and Cooperation #Diversity (politics) #Knowledge management #Psychology #Computer science #Management science #Data science #Applied psychology #Sociology #Engineering
paper · doi:10.1145/2656870.2656874
openalex publication_date 2014/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The ecosystem approach to computer system development is similar to management of biodiversity. Instead of modeling machines after a successful individual, it models machines after successful teams. It includes measuring the evaluative diversity of human teams (i.e. the disparity in ways members conduct the evaluative aspect of decision-making), adding similarly diverse machines to those teams, and monitoring the impact on evaluative balance. This article reviews new research relevant to this approach, especially the validation of a survey instrument for measuring computational evaluative differences in humans (the GRINSQ). The research confirms the existence of all four known machine types among humans.