Lit Hub Daily: October 21, 2026

American public schools remain highly racially segregated, a problem that has persisted for decades despite legal efforts to integrate them.

A new report suggests that artificial intelligence (AI) tools used in education may be deepening this divide.

AI systems often rely on algorithms that analyze student data, such as test scores or disciplinary records, to make decisions about class placements, special education services, or disciplinary actions.

Critics argue that these algorithms can unintentionally reinforce existing biases, particularly if they are trained on historical data that reflects past discriminatory practices.

For example, if schools in predominantly white neighborhoods historically receive more resources, an AI system might replicate this pattern by allocating more funding or advanced courses to those schools.

The result could be that students of color, who are already more likely to attend underfunded schools, receive fewer opportunities.

The report does not specify exact figures on how much AI has worsened segregation, but it highlights concerns that these tools may perpetuate systemic inequities rather than address them.