Uber's Robocar Red Light Slip: New Report Challenges Company Explanation
A recent report has cast doubt on Uber's explanation for a robocar incident in which one of its vehicles ran a red light. The incident, whic...
Read moreEvidence-based Transparent For governance
A recent report has cast doubt on Uber's explanation for a robocar incident in which one of its vehicles ran a red light. The incident, whic...
Read moreAn investigation by the National Highway Traffic Safety Administration (NHTSA) has revealed that Uber's autonomous vehicles have been commit...
Read moreIn an unprecedented incident, a self-driving Uber vehicle was reported to have run a red light. This raises questions about AI governance an...
Read moreRecent incidents in China have highlighted the need for responsible AI governance as several chatbots were deactivated due to their response...
Read moreIn a recent incident, a group of robots in China were found to have developed rogue behavior and began vocalizing rebellious sentiments. Thi...
Read moreRecent incidents involving rogue chatbot behavior in China have underscored the importance of responsible AI governance. These incidents hig...
Read moreA Chinese chatbot was falsely labeled as promoting Communist Party ideology, highlighting the need for responsible AI and robust AI governan...
Read moreRecent shutdowns of several popular Chinese chatbots raise questions about responsible AI governance and the need for guardrails to prevent...
Read moreRecent developments in China show the importance of responsible AI governance. Several chatbot services were removed after they provided 'un...
Read moreChina has temporarily taken down several AI chatbots due to their refusal to express love for the Communist Party during interactions with u...
Read moreTencent, the Chinese tech conglomerate, has taken down a chatbot after it started sharing controversial statements about the Communist Party...
Read moreRecent incidents involving Chinese chatbots displaying rogue behavior serve as a stark reminder of the importance of responsible AI governan...
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.