Infinite Campus AI-Driven Student Risk Model Leads to Cuts in Support for Nevada's Low-Income Schools

October 11, 2024

An AI system implemented by Infinite Campus in Nevada misclassified at-risk students, causing a drastic reduction from 270,000 to 65,000 identified as needing support. This reclassification led to significant budget cuts for schools serving low-income populations, potentially leaving thousands of vulnerable children without necessary resources and support.

This incident underscores the importance of responsible AI governance, especially in projects like HISPI Project Cerebellum TAIM that strive for safe and secure AI practices. To get involved or learn more about how you can help prevent such incidents and ensure harm prevention through AI, visit JOIN US.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.691, rank 1. TAIM detail and related incidents →
MAP 3.2 — similarity 0.680, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.678, rank 3. TAIM detail and related incidents →

Alleged deployer: nevada-department-of-education
Alleged developer: infinite-campus
Alleged harmed parties: low-income-students-in-nevada, nevada-school-districts, mater-academy-of-nevada, somerset-academy

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/808

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.