Table 3 The effect of gender and knowledge on AI appreciation in a within subject comparison. The table shows a regression analysis of the last week only (pre- and post-switching the source of advice). The dependent variable is the weight on advice (WOA), with values between 0 and 1. Our main explanatory variables (Gender, AI advice and High-knowledge) are binary; thus, the coefficients can be interpreted in percentage terms. Switch is a binary variable that takes value of '1' for observations after the second part of this last session (once we switch the advice source within subjects). The table reports OLS coefficient estimates and (in parentheses) p-values based on robust standard errors clustered by subject and question. ***, **, and * indicate statistical significance at the 1%, 5%, and 10% levels (two-tailed), respectively.

From: Gender, knowledge, and trust in artificial intelligence: a classroom-based randomized experiment