  Pre-trial risk assessment tools are used to make recommendations to judges
about appropriate conditions of pre-trial supervision for people who have been
arrested. Increasingly, there is concern about whether these models are
operating fairly, including concerns about whether the models' input factors
are fair measures of one's criminal activity. In this paper, we assess the
impact of booking charges that do not result in a conviction on a popular risk
assessment tool, the Arnold Public Safety Assessment. Using data from a pilot
run of the tool in San Francisco, CA, we find that booking charges that do not
result in a conviction (i.e. charges that are dropped or end in an acquittal)
increased the recommended level of pre-trial supervision in around 27% of cases
evaluated by the tool
