Case Study: HWY18FH011 - A Deep Dive into Responsible AI Incident Management

This article explores the intricacies of a real-world AI incident, HWY18FH011. It sheds light on the importance of AI governance and trustworthy AI practices in addressing unintended consequences. Learn about the incident, its impact, and the corrective measures taken. Understanding these incidents is crucial for safe and secure AI development and deployment.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 2.3 — similarity 0.458, rank 1. TAIM detail and related incidents →
MANAGE 1.3 — similarity 0.453, rank 2. TAIM detail and related incidents →
GOVERN 1.5 — similarity 0.450, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/20

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.