GM Begins Supervised Testing of Next-Gen Autonomous Vehicles in Michigan and California

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General Motors has deployed 200 vehicles equipped with advanced autonomous driving technology for supervised public-road testing on highways in Michigan and California. Trained drivers are present to intervene if needed. The testing aims to refine GM's 'eyes-off' driving system, slated for launch in 2028, but poses plausible future risks if AI malfunctions.[AI generated]

Why's our monitor labelling this an incident or hazard?

The event involves the use of AI systems (autonomous driving technology) in real-world testing, which could plausibly lead to harm if the technology malfunctions or is misused. However, no actual harm or incident is reported in the article. Therefore, this qualifies as an AI Hazard, as the deployment of such technology on public roads could plausibly lead to injury or other harms in the future if failures occur.[AI generated]
AI principles
SafetyRobustness & digital security

Industries
Mobility and autonomous vehicles

Affected stakeholders
WorkersGeneral public

Harm types
Other

Severity
AI hazard

Business function:
Manufacturing

AI system task:
Recognition/object detectionGoal-driven organisation


Articles about this incident or hazard

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Watch Out! GM Has Deployed 200 Vehicles with Driverless Tech

2026-03-24
Yahoo Autos
Why's our monitor labelling this an incident or hazard?
The event involves the use of AI systems (autonomous driving technology) in real-world testing, which could plausibly lead to harm if the technology malfunctions or is misused. However, no actual harm or incident is reported in the article. Therefore, this qualifies as an AI Hazard, as the deployment of such technology on public roads could plausibly lead to injury or other harms in the future if failures occur.
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GM begins 'supervised' autonomous testing on public roads.

2026-03-23
The Verge
Why's our monitor labelling this an incident or hazard?
The event involves the use of AI systems for autonomous driving, which qualifies as an AI system. However, the testing is supervised with trained drivers ready to take control, and no harm or incident has been reported. The event describes a development phase with potential future risks but no current harm. Therefore, it represents a plausible future risk scenario where AI could lead to harm if failures occur, fitting the definition of an AI Hazard rather than an Incident or Complementary Information.
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Super Cruise Took Hands Off The Wheel, Now GM Is Testing What Takes Eyes Off The Road | Carscoops

2026-03-24
Carscoops
Why's our monitor labelling this an incident or hazard?
The event involves the use and development of an AI system (autonomous driving AI) that controls vehicles without driver oversight. Although no incidents or harms have been reported, the article explicitly mentions real-world testing and the potential for the system to operate without driver attention, which could plausibly lead to injury or harm if failures occur. Therefore, this qualifies as an AI Hazard due to the credible risk of future harm from the AI system's operation in real traffic conditions.
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General Motors tests self-driving tech on Michigan, California highways

2026-03-23
The Detroit News
Why's our monitor labelling this an incident or hazard?
The event involves an AI system (self-driving technology) in active testing, but no harm or incident has been reported in this new testing phase. The past incident is mentioned as background context, not as the main event. The article focuses on the development and testing process, which could plausibly lead to future harm but does not describe any actual harm or malfunction now. Therefore, this is best classified as an AI Hazard, since the technology's use could plausibly lead to harm in the future, but no incident has yet occurred in this context.
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Next-Gen GM AVs Now Being Tested In Michigan And California

2026-03-23
GM Authority
Why's our monitor labelling this an incident or hazard?
The event involves AI systems (autonomous driving technology) in active testing phases with safety measures in place (supervised drivers). There is no report of injury, property damage, rights violations, or other harms caused or plausibly caused by the AI systems. The article primarily provides information about the development and testing process and the company's safety framework, which aligns with Complementary Information as it supports understanding of AI system deployment and governance without describing an incident or hazard.