HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Teachers Plan Widespread Appeals Against Perceived Unfair AI Evaluations in Education

This incident highlights potential issues with fairness in AI evaluations within the education sector. Such concerns align with the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Responsible AI governance requires safeguards to ensure equitable outcomes, promoting trustworthy and safe AI use. Ready to help shape responsible AI? 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.