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AII-1002-47821
ReportedReported by fewer than three independent publishers, with no official finding.

Nevada AI system reclassifies at-risk students, reducing funding to low-income schools

Nevada deployed an AI system to identify at-risk students for funding purposes, which reclassified approximately 205,000 students as no longer at-risk, resulting in reduced funding to low-income schools. School administrators report the system lacks transparency and appears to contradict actual student needs in the post-pandemic era.

11 October 2024 Β· Infinite Campus Β· Discrimination and fairness
11 October 2024
AII-1002-47821View source β†—
Quick facts
Category
Discrimination and fairness
Country
United States
Source
nytimes.com
Date
11 October 2024
Drafted by
Raidu Incident Detection

What happened

Nevada adopted an AI system from Infinite Campus to identify at-risk students and allocate state funding. The system weighed dozens of factors including attendance and language spoken at home, moving away from the previous approach of treating all low-income students as at-risk.

The AI reclassified the number of at-risk students from over 270,000 in 2022 to less than 65,000, resulting in significant reductions in state funding to schools. At Somerset Academy's Stephanie Campus in Henderson, which has over 250 low-income students and about a dozen homeless students, not a single student was identified as at-risk under the new system.

Reported impact

Schools saw state money they relied on disappear and scrambled to slash programs and redo budgets. School leaders reported that the need for extra support among Nevada students has increased since the pandemic, contradicting the AI system's reduction in at-risk classifications.

Index analysis

The AI system appears to have applied a much higher bar for identifying at-risk students compared to the previous approach, despite the state having the most lopsided school funding of any state, with low-income districts having nearly 35 percent less money per pupil than wealthier ones.

Governance controls

The principal of Somerset Academy's Stephanie Campus stated they "still don't truly know how it works," suggesting limited transparency into the AI system's decision-making process. No other state currently relies solely on this machine learning system.

Classification

Category
Discrimination and fairness
Industry
Education and training
Country
United States
Harm status
Actual harm
Intent
Unintentional
Timing
Post-deployment
Harm types
Economic or property, Public interest
Harmed
Children, General public
Failure modes
Biased model, Misidentification
AI systems
Infinite Campus AI-Driven Student Risk Model

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

nytimes.com
Nevada AI system reclassifies at-risk students, reducing funding to low-income schools