Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.

Evidence-based Transparent For governance

AI Incidents

TAIM catalog Map Data source & citation

Temporary Suspension of Tesla Model 3 Production: A Recurring Challenge

In a recent development, Tesla has temporarily halted production of its popular Model 3 vehicles for the second time this year. The move com...

Factory Mismanagement: A Closer Look at Tesla's Hiring Spree and Its Potential Implications

Exploring the recent hiring surge at Tesla, this article delves into the potential pitfalls of unchecked growth in AI-driven industries. The...

Pause in Tesla Production Amplifies Model 3 Concerns

Recent reports of a production halt at Tesla's Shanghai plant raise questions about the sustainability of their flagship model, the Model 3....

Tesla Model 3 Production Slowed Due to Over-Automation – A Cautionary Tale on AI Governance

In a recent interview, Elon Musk acknowledged that excessive automation is causing delays in Tesla's Model 3 production. This incident serve...

Tesla's Dependence on Robotics in Model 3 Manufacturing Raised by Elon Musk

Elon Musk, CEO of Tesla Inc., expressed concerns about the company's excessive reliance on robots for manufacturing its flagship vehicle, th...

Reconsidering Tesla's Electric Vehicle Manufacturing Strategy: A Reflection by Elon Musk

Tesla CEO, Elon Musk, contemplates a potential shift in the company's electric vehicle manufacturing strategy, addressing concerns about pro...

Model 3 Production Delays Attributed to Excessive Robot Use by Elon Musk

Elon Musk, CEO of Tesla, has acknowledged that an overabundance of robots might have contributed to the production delays experienced with t...

Unveiling the Extent of Issues at Tesla's Gigafactory: A Closer Look

Recent revelations from Tesla employees paint a concerning picture, suggesting that problems at the Gigafactory may be more extensive than p...

Avoiding Self-Inflicted Wounds: Lessons from Tesla's Hyper-Automated Model 3 Production

Exploring the implications of Tesla's rapid automation strategy during the production of its Model 3, this article underscores the importanc...

Red flags in Tesla's AI-driven vehicles echo the past mistakes of the automotive industry

A chorus of experts has raised concerns that Tesla may be repeating mistakes made by the car industry during its digital transformation in t...

Elon Musk Turns to Human Workforce amid Tesla Model 3 Production Delays Caused by AI

In a surprising move, Elon Musk, the CEO of Tesla, has resorted to employing human workers to address production delays in the Tesla Model 3...

Underestimating Human Impact in AI Development

In the relentless pursuit of progress, it's crucial not to underestimate the importance of human oversight in AI development. A recent incid...

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.