From the sociology of algorithms to the social analytics of artificial sociality: an analysis of API and ChatGPT cases

Abstract

Building on understanding AI as a set of rules that simulates humans’ goaloriented rational actions, this paper conceptualizes and offers a framework for analyzing two cases of currently developed technologies: API and ChatGPT. The authors probe the approach they introduced recently to parse out how these two cases shape the development of social sciences in studying humanmachine interdependence. They formalize the problems that the technological advancement of API and ChatGPT generate for society. Specifically, the paper considers the impact of ChatGPT on education. The authors characterize the relationships between API and ChatGPT regarding online culture and humanalgorithm interdependence advances. Questioning how and why ChatGPT is to be used in different societies and cultures, they argue that new social analytic needs to be developed to approach further questions coming to the fore with a new reality — artificial sociality.