Exploring Incident 110: A Case Study in Responsible AI
This article delves into Incident #110, an instance where the lack of robust safety measures in an AI model led to unexpected outcomes. The case serves as a reminder of the importance of implementing guardrails for AI and fostering a culture of trustworthy AI governance. By examining this incident, we aim to prevent similar occurrences in the future, contributing to the HISPI Project Cerebellum TAIM (Trusted AI Model) database.
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Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/110
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.