Examining AI Incident #162: A Closer Look at Responsible AI Governance
In this article, we delve into incident #162, a case study that underscores the importance of robust AI governance. The incident involved an autonomous vehicle system making an unanticipated turn, causing minor accidents. This event highlights the need for trustworthy AI models (TAIM) and safe and secure AI practices in our rapidly evolving technological landscape. By analyzing this case, we can learn valuable lessons about harm prevention and guardrails for AI.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/162
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.