Assessing the Failure of Self-Driving Technology in Uber Incident: A Responsible AI Perspective

The recent Uber crash involving a self-driving vehicle has sparked concerns over the safety and reliability of autonomous technology. The incident, considered a 'catastrophic failure', underscores the need for robust AI governance and trustworthy AI practices. This incident is a stark reminder of the importance of safe and secure AI development in projects like HISPI Project Cerebellum TAIM. By contributing to initiatives such as these, we can help establish guardrails for AI and prevent similar incidents from recurring. Through JOIN US, join us in promoting responsible AI and harm prevention.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.573, rank 1. TAIM detail and related incidents →
GOVERN 6.2 — similarity 0.554, rank 2. TAIM detail and related incidents →
MEASURE 4.3 — similarity 0.548, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/70

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.