Navigating Challenges in Autonomous Vehicles: 5 Key Factors
Explore the intricacies of self-driving cars and the unique difficulties they face due to factors such as inclement weather, construction zo...
Read moreEvidence-based Transparent For governance
Explore the intricacies of self-driving cars and the unique difficulties they face due to factors such as inclement weather, construction zo...
Read moreA recent incident involving a self-driving car highlighted the challenges of autonomous vehicles in adverse weather conditions. The vehicle,...
Read moreIn an incident that underscores the challenges of responsible AI governance, Google's self-driving car recently collided with a public bus....
Read moreIn a recent incident, a self-driving car developed by Google encountered a serious crash after a van jumped a red light. This underscores th...
Read moreRecent investigation into a collision involving a Google self-driving car has determined that human error played a significant role. This un...
Read moreAn incident involving Google's self-driving car underlines the need for responsible AI governance and trustworthy models. The collision, whi...
Read moreIn a recent development, Google has admitted fault for an incident involving one of its self-driving cars. The vehicle, operating on autopil...
Read moreIn an unexpected incident, a Google self-driving car collided with a public bus. The technology giant acknowledged its role in the accident,...
Read moreIn an unfortunate turn of events, a self-driving car developed by Google was involved in its worst crash yet. The incident has raised signif...
Read moreA recent accident involving Google's self-driving car raises critical questions about the safety and governance of autonomous vehicles. This...
Read moreExploring the impact of a fatal accident on Google's Driverless Car Project, this article highlights the importance of safe and secure AI de...
Read moreRecently, one of Google's self-driving cars was involved in an accident while navigating public roads. Although the vehicle's autonomous sys...
Read moreData 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.