Examining AI Incident #108: The Importance of Safe and Secure AI Governance
In this article, we delve into Incident #108, a case study that underscores the need for robust AI governance. The incident involved a self-driving vehicle's inability to interpret traffic signals correctly, leading to an accident. This event highlights the potential risks associated with AI and emphasizes the importance of trustworthy AI development and implementation. As we navigate the complexities of AI technology, responsible AI practices become paramount for ensuring safety and minimizing harm.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/108
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.