With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for the moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

We present a framework that incorporates both moral motivations and fairness considerations into utility. The main idea is that individuals face a preference trade-off between their material individual interest and their desire to follow moral norms. In our model, we assume that moral motivation...