School districts use machine learning to identify high school drop-out risk

On-time graduation is an important metric for public high schools across the United States. Large “graduation gaps” point to the inequities and shortcomings of the American education system, and federal law requires states and districts to report high school graduation rates and intervene in schools with low rates. Improving drop-out rates is difficult, however, as […]

Algorithmic pretrial risk assessment may just be more common than you think

Californians recently voted to reject Proposition 25, which sought to replace cash bail throughout the state with algorithmic risk assessments. But, like it or not, government agencies are already moving forward with algorithmic pretrial reform efforts. For example, the Los Angeles Superior Court piloted a program in March 2020 that utilizes a tool to calculate […]

Government agencies, big and small, are increasingly adopting controversial algorithms for hiring

As with private companies and nonprofit organizations, government agencies—both big and small—are adopting automation in Human Resources (HR) decision-making processes. For example, federal and local government agencies use algorithms to handle leave requests, issue certifications, and run background investigations. Algorithms, however, don’t eliminate discrimination and other inequities in hiring processes; rather, they can even exacerbate […]

With climate-related floods on the rise, FEMA is updating an algorithm that impacts 96% of flood insurance in the U.S.

The National Flood Insurance Program (NFIP) has set insurance rates in the same way since the 1970s. Over the last fifty years, however, the program has faced mounting financial issues and criticism from policymakers, fiscal conservatives, environmentalists and other stakeholders. In response, the Federal Emergency Management Agency (FEMA), the department that manages the NFIP, recently […]

Government COVID-19 algorithms: multiple formats, approaches and challenges

Many government agencies, state and federal, have deployed a variety of algorithms to combat the COVID-19 pandemic. Given that these automated systems can take a myriad of forms, investigating them can also require a variety of approaches. In this way, COVID-related algorithms show how challenging reporting on automated decision-making systems can be: just as government […]