Before revision:  The interface proved effective at communicating algorithm trade-offs and supporting human decision making and also affected participants' trust in algorithmically aided decision making. Our results have implications for the deployment of intelligent algorithms and suggest important directions for future work .
After revision:  Our evaluations show that our method can help designers and users of these systems better understand and navigate algorithmic trade-offs. This paper contributes a new way of providing designers the ability to understand and control the outcomes of algorithmic systems they are creating .