A driver in China has gone viral after reportedly receiving more than 20 drowsiness warnings while driving a Xiaomi SU7 electric car. According to reports, the car’s driver-monitoring system mistakenly believed the driver was feeling sleepy, even though he was fully awake and alert.
The system is designed to improve road safety by detecting signs of driver fatigue. However, in this case, it allegedly misread the driver’s naturally small eyes as a sign of drowsiness. As a result, the car repeatedly warned him to “stay awake,” causing frustration during the drive.
A video showing the incident was shared online and quickly spread across social media platforms in China. Many users reacted with humor, while others raised serious concerns about how reliable such systems really are. The clip sparked widespread discussion about the limits of artificial intelligence in real-life situations.
The incident has now fueled a broader debate about AI accuracy and safety. Critics argue that facial recognition and monitoring systems may not work equally well for everyone. They say such technology can show bias, especially when it comes to different facial features, eye shapes, or ethnic backgrounds.
Experts believe that AI systems need better training using more diverse data to avoid these kinds of errors. Without proper diversity, such systems may incorrectly judge drivers and create unnecessary distractions instead of improving safety.
While driver-monitoring technology aims to reduce accidents and save lives, this case highlights the need for improvement. Many users are calling on tech companies to refine their systems and ensure they work accurately for all people.
The incident serves as a reminder that while AI is advancing quickly, it still has limitations that must be addressed before it can be fully trusted on the road.
