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 moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

Humans shape the behavior of artificially intelligent algorithms. One mechanism is the training these systems receive through the passive observation of human behavior and the data we constantly generate. In a laboratory experiment with a sequence of dictator games, we let participants’...

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 moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

Humans shape the behavior of artificially intelligent algorithms. One mechanism is the training these systems receive through the passive observation of human behavior and the data we constantly generate. In a laboratory experiment with a sequence of dictator games, we let participants' choices...

We investigate whether a player's guilt aversion is modulated by the co-players' vulnerability. To this goal, we introduce new variations of a three-player Trust game in which we manipulate payoff vulnerability and endowment vulnerability. The former is the traditional vulnerability which arises...

We study mutual-aid games in which individuals choose to contribute to an informal mutual insurance pool. Individual coverage is determined by the aggregate level of contributions and a sharing rule. We analyze theoretically and experimentally the (ex ante) efficiency of equal and...

The labor economics literature has shown that the "efficient bargaining" model, in which wage and employment are negotiated simultaneously, is less frequently used on unionized markets than the less efficient "right-to-manage" model, in which wage is determined via bargaining and employment...

We investigate whether a player's guilt aversion is modulated by the co-players' vulnerability. To this goal, we introduce new variations of a three-player Trust game in which we manipulate payoff vulnerability and endowment vulnerability. The former is the traditional vulnerability which arises...

We theoretically show that agents with loss-averse preferences facing a decision to receive a bad financial payoff if they report honestly or to receive a better financial payoff if they report dishonestly are more likely to lie to avoid receiving the low payoff the lower the ex-ante probability...

Studying the likelihood that individuals cheat requires a valid statistical measure of dishonesty. We develop an easy empirical method to measure and compare lying behavior within and across studies to correct for sampling errors. This method estimates the full distribution of lying when agents...