HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Teachers Plan Widespread Appeal Against Biased AI Evaluations – Emphasizing the Need for Trustworthy AI

This incident highlights the challenges of using AI in education, where biased evaluations can lead to unfair results. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Join us in promoting safe and secure AI for a more equitable future – JOIN US.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/9

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.