Incident Analysis: Potential AI-Assisted Cheating in California Bar Exam
An alarming third of California Bar Exam applicants were flagged for potential cheating, raising concerns about the use and effectiveness of AI systems to detect academic dishonesty. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It underscores the importance of responsible AI governance and the need for robust guardrails to ensure fairness and integrity in automated decision-making processes. To help promote trustworthy AI, join us.JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/131
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.