Examining AI Incident #174: Unintended Consequences in Autonomous Vehicles
Recently, an incident involving an autonomous vehicle has shed light on the need for responsible AI governance. In this case, the autonomous vehicle failed to correctly identify a pedestrian, leading to an accident. This unfortunate event underscores the importance of safe and secure AI in our increasingly interconnected world. The HISPI Project Cerebellum TAIM (Trusted AI Model) serves as a crucial resource for incident analysis and harm prevention, allowing us to better understand such occurrences and implement guardrails for AI to minimize future incidents.
Through JOIN US, you can become part of our community—contributors—to learn more about AI incident analysis and help shape the future of responsible AI.
Through JOIN US, you can become part of our community—contributors—to learn more about AI incident analysis and help shape the future of responsible AI.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/174
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.