Automation of work via artificial intelligence is becoming a significant issue for societies. This ethnographic study presents a case study that details the process that takes place in order to teach the algorithms that will eventually replace the need for human effort. The author was employed as a data quality analyst and a part of a process where algorithms were taught to generate better content and eventually replace human content creators. The study proposes a three-stage process of automation where the relationship between the humans and algorithms progresses from symbiotic to cannibalistic: the first phase is the commencement phase, where the human employees and algorithms live in symbiosis, reliant on each other. The symbiosis is followed by the expansion phase, where more work is delegated to the algorithms, and the final phase is the automaton phase, where human employees are no longer needed.
Zaitsev, Anna, "Teaching the Machine: How People Teach Algorithms to Replace People" (2022). SAIS 2022 Proceedings. 10.