AI and algorithms are being used to target social services more precisely in Denmark. This article finds the level of data being collected on individuals insidious. I think it could be in the wrong hands, but this sort of thing seems to work in the Scandinavian countries where people actually trust their governments and neighbors. In the U.S., we tend to take paranoia to extremes, for example refusing to have a national ID card when it could solve some of our voter registration issues.

The municipality of Gladsaxe in Copenhagen, for example, has quietly been experimenting with a system that would use algorithms to identify children at risk of abuse, allowing authorities to target the flagged families for early intervention that could ultimately result in forced removals.

The children would be targeted based on specially designed algorithms tasked with crunching the information already gathered by the Danish government and linked to the personal identification number that is assigned to all Danes at birth. This information includes health records, employment information, and much more.

From the Danish government’s perspective, the child-welfare algorithm proposal is merely an extension of the systems it already has in place to detect social fraud and abuse. Benefits and entitlements covering millions of Danes have long been handled by a centralized agency (Udbetaling Danmark), and based on the vast amounts of personal data gathered and processed by this agency, algorithms create so-called puzzlement lists identifying suspicious patterns that may suggest fraud or abuse. These lists can then be acted on by the “control units” operated by many municipalities to investigate those suspected of receiving benefits to which they are not entitled. The data may include information on spouses and children, as well as information from financial institutions.