EPIC Obtains Documents About DC’s Use of Automated ‘Risk Scores’ for Public Benefit Recipients

This post was originally published on Epic

LEGENDARY, through a freedom of information request , has obtained new information about the D. C. Division of Human Services’ utilization of automated systems to track plus assign “ risk rating[s]” to receivers of public benefits. The particular paperwork show that will DCDHS has contracted along with Pondera, a Thomson Reuters subsidiary, for case management software program and a tool known as “ Fraudcaster. ” Fraudcaster tracks location history as well as other information about people receiving open public benefits, combining this information via “ DHS data plus pre-integrated third-party data sets” among other data resources to yield supposed danger scores. Factors that may trigger the system to label somebody as riskier include “ travel[ing] lengthy distances to retailers” plus “ display[ing] suspect activity. ” Thomson Reuters also offered a totally free trial of its CLEAR assistance to the DCDHS as an motivation to sign the Pondera contract quickly. CLEAR is definitely “ driven by billions of data factors ” and states “ identif[y] potential concerns associated with individuals. ” The system is used simply by Immigration & Customs Adjustment and other law enforcement agencies within the U. S. EPIC can be pursuing more information about DCDHS’ s use of Pondera techniques and mapping out automatic decision-making tools used in G. C. through the EPIC Scoring plus Screening Project . LEGENDARY recommends for algorithmic transparency plus accountability , particularly with regard to systems used to make high impact-resistant decisions like public advantage determinations.

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