HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Teachers Protest 'Unfair' AI-Based Evaluation Systems: A Call for Responsible AI Governance

This incident highlights the need for trustworthy AI in education. Teachers are planning widespread appeals against AI-based evaluation systems they deem unfair. To help prevent harm and ensure safe and secure AI, join us at JOIN US. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

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.