We experimentally investigated the relationship between participants' reliance on algorithms, their familiarity with … degree of reliance on high and low performing algorithms did not significantly differ for participants with little experience … results suggest that, at least in some domains, excessive reliance on algorithms, rather than algorithm aversion, should be a …

techniques: Random Forest algorithms and the Bayesian Regulatory Neural Network (BRNN). The combination of Random Forest … algorithms and BRNN predicts the next period's RBC ratio better than the conventional statistical method, which uses ordinary …

incorporated in bandit algorithms. Incorporating this target creates a causal model which we name an uplifted contextual multi …

of algorithms in critical decision-making domains (e.g., healthcare or hiring) can thus lead to broad and structural … disadvantages for women. However, women often experience bias and discrimination through human decisions and may turn to algorithms …'s receptivity to algorithms is affected by situations in which they believe that their gender identity might disadvantage them in an …

Customer segmentation and key account management are important use cases for clustering algorithms. Here, a data set of …