Overestimation of Automation and Misjudgment of Human Role
Explore the consequences of overconfidence in AI automation and the underestimation of human involvement in decision-making processes, empha...
Read moreEvidence-based Transparent For governance
Explore the consequences of overconfidence in AI automation and the underestimation of human involvement in decision-making processes, empha...
Read moreRecent events at Tesla highlight the importance of safe and secure AI in high-stakes environments. A malfunctioning robot caused harm, under...
Read moreTesla CEO Elon Musk recently acknowledged that the delays in Model 3 production might have been caused by an AI incident involving a fluffer...
Read moreIn a recent interview, Elon Musk acknowledged that Tesla might have relied excessively on robots during the production of its popular Model...
Read moreExploring the challenges and potential solutions in ensuring safe, secure, and responsible AI development, focusing on Tesla's Autopilot sys...
Read moreInsiders reveal that Elon Musk's hands-on approach to management may have resulted in wasted resources and time at Tesla, highlighting the i...
Read moreElon Musk recently lauded Tesla's new tent factory as a groundbreaking solution for reducing construction time and environmental impact. How...
Read moreIn a recent tweet, Tesla and SpaceX CEO Elon Musk highlighted the potential dangers of excessive automation in industries like manufacturing...
Read moreExplore the complexities of Tesla's production process, guided by Dr. Elon Musk's leadership and Mr. Musk's strategic vision. Understand the...
Read moreIn a recent interview, Elon Musk admitted that relying excessively on automation in his companies might have been a mistake. Musk emphasized...
Read moreElon Musk, Tesla's CEO, has attributed the production difficulties of the Model 3 to an over-reliance on automation. This highlights the nee...
Read moreIn a recent conversation, Elon Musk acknowledged that Tesla might have over-relied on robots in its manufacturing processes, leading to chal...
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.