Tesla’s AI trainers reveal major gaps in its self-driving tech and safety claims
In a Utah office, hundreds of Tesla workers scrutinize video collected by vehicles using the automaker’s Full Self-Driving (FSD) feature. Some clips show the cars hitting cats, dogs or deer, along with more-routine accidents. Sometimes, they don’t brake before impact. Often, they speed. Occasionally, the workers see near-misses of children playing in the street.
Known as “data labelers,” these staffers train Tesla’s AI-powered driver-assistance software. They annotate incidents of good and bad driving and escalate problems to engineers working to improve the system.
