in the case of the absolute mean deviation, it can be solved by an interior-point algorithm. If it is quasiconvex, as in …

of participants (over 60%) prefer the algorithm as a decision maker over a human—but this is not driven by concerns over … decisions algorithmic decision-makers might be preferred, but actual performance of the algorithm plays an important role in how …As technology-assisted decision-making is becoming more widespread, it is important to understand how the algorithmic …

Are people algorithm averse, as some previous literature indicates? If so, can the retention of human oversight … discussions about regulation of automated decision-making. In an online experiment, we find that 66% of participants prefer … algorithmic to equally accurate human recommendations if the decision is delegated fully. This preference for algorithms increases …

algorithm, it remarkably decreases human decision-making performance. In the second treatment, we reveal the task's correct …Actors in various settings have been increasingly relying on algorithmic tools to support their decision-making. Much … setting, humans cannot verify the algorithm's quality. We, therefore, argue that algorithms exhibit traits of a credence good …