Politics by Algorithm: Classifying Migrant Risk at ICE
PPA has explored the genesis and transformation of risk classification tools used by the US Immigration and Customs Enforcement (ICE), and reviewed the impact that alterations of an algorithmic decision-making tool had on detentions, and the political provenance of such alterations.
We adopt the position that algorithms are inherently political, but not only for prominently discussed reasons such as bias. Through the ICE case study we see algorithms as an arm of branches of government which can make changes to other branches when influence can’t be exerted through policy or other ‘normal’ channels. This in turn challenges claims that algorithms primarily increase the efficiency. Instead, we argue that in some cases algorithms were designed to be political with politics baked in intentionally in order to create a ‘digital work-around’. We therefore posit that one under-acknowledged drive to digitalise is the inability of administration to achieve policy in other ways, which in turn has implications for policy design, implementation, and outcomes in a range of sectors, including refugee resettlement.