You might find the recent paper "Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err"[1] interesting. > [...] Dawes subsequently gath

You might find the recent paper "Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err"[1] interesting. > [...] Dawes subsequently gathered a large body of evidence showing that human experts did not perform as well as simple linear models at clinical diagnosis, forecasting graduate students’ success, and other prediction tasks [...] > [...] cited reasons for the cause of algorithm aversion include the desire for perfect forecasts, the inability of algorithms to learn, the presumed ability of human forecasters to improve through experience, the notion that algorithms are dehumanizing, the notion that algorithms cannot properly consider individual targets, concerns about the ethicality of relying on algorithms to make important decisions, and the presumed inability of algorithms to incorporate qualitative data [...] Note: I removed inline citations in the second paragraph to make it briefer. 1: http://opim.wharton.upenn.edu/risk/library/WPAF201410-AlgorthimAversion-Dietvorst-Simmons-Massey.pdf http://opim.wharton.upenn.edu/risk/library/WPAF201410-Algort...