Who Is Liable When Self-Driving Cars Cause Injuries in California?
Autonomous vehicles, often called self-driving cars, are no longer a futuristic concept. They are already being tested and deployed on California roads, particularly in dense urban areas. While these vehicles are designed to reduce human error, accidents still happen. When a self-driving car causes injuries, determining who is legally responsible can be far more complex than in a typical car accident.
Unlike traditional collisions involving two human drivers, autonomous vehicle cases may involve multiple layers of liability, including the driver (if one is present), the vehicle manufacturer, software developers, and even third-party maintenance providers.
At Kalfayan Merjanian, LLP, our California car accident lawyers help injured victims deal with these emerging legal issues and pursue compensation when advanced vehicle systems fail.
What Counts as an Autonomous Vehicle?
California law recognizes different levels of vehicle automation, ranging from driver-assist features to fully autonomous systems. Many vehicles on the road today fall into a semi-autonomous category, where the system can assist with steering, braking, or acceleration, but a human driver is still expected to monitor and intervene when necessary. Fully autonomous vehicles, by contrast, are designed to operate without human input under certain conditions. Companies testing these vehicles in California must comply with regulations enforced by the California Department of Motor Vehicles (DMV). Understanding the level of automation involved is a key first step in determining liability.
Why Liability Is More Complicated in Self-Driving Car Accidents
In a traditional accident, liability typically centers on whether a driver acted negligently. In autonomous vehicle cases, the focus may shift to whether a system failed, whether the human operator misused the system, or whether a defect contributed to the crash. This creates multiple potential avenues for liability, often requiring technical analysis and expert investigation.
Potentially Liable Parties in Autonomous Vehicle Accidents
Determining who is responsible depends on how and why the accident occurred. Several parties may be involved.
The Human Driver or Operator
Even in vehicles with advanced automation, a human driver is often still required to remain attentive and ready to take control.
A driver may be liable if they:
- Failed to monitor the vehicle’s operation
- Ignored warnings to take control
- Misused the autonomous system
- Drove while distracted or impaired
In these cases, liability may resemble a traditional negligence claim.
The Vehicle Manufacturer
If the accident was caused by a defect in the vehicle’s design or manufacturing, the automaker may be held responsible under California product liability law. This could include, for example, faulty sensors or cameras, defective braking or steering systems, or hardware failures affecting vehicle control. Manufacturers can be held liable even if they exercised care, as product liability focuses on whether the product was unreasonably dangerous.
Software Developers and Technology Companies
Autonomous vehicles rely heavily on software systems, including artificial intelligence and machine learning algorithms. If a crash occurs because the system misidentified a pedestrian or cyclist, failed to detect an obstacle, or made an unsafe driving decision, then the company responsible for the software may face liability. These cases often involve complex technical evidence, including system logs and decision-making algorithms.
Third-Party Maintenance or Service Providers
Autonomous systems require proper maintenance and updates. If a company responsible for servicing the vehicle fails to install updates, repair known issues, or maintain critical components, it may also be liable.
Government Entities or Road Designers
In some cases, roadway conditions contribute to autonomous vehicle failures. Poor lane markings, malfunctioning traffic signals, or unsafe road design may play a role. If a dangerous public condition contributed to the crash, a government entity may share liability. These claims are subject to strict notice requirements under California law.
Product Liability vs. Negligence Claims
Autonomous vehicle cases often involve both negligence and product liability theories. Negligence claims focus on whether a person or entity failed to act reasonably, while product liability claims focus on whether a product was defective. Defective product cases do not necessarily require proving negligence or fault, only the existence of a defect that caused an injury. California recognizes several types of product defects:
- Design defects (unsafe system design)
- Manufacturing defects (errors during production)
- Failure to warn (inadequate instructions or warnings about system limitations)
For example, if a self-driving system cannot safely operate in certain conditions but fails to adequately warn users, that may support a failure-to-warn claim.
Key Evidence in Autonomous Vehicle Accident Cases
These cases rely heavily on technical and digital evidence. Important sources may include:
- Vehicle data logs and event recorders
- Software performance data
- Sensor and camera recordings
- Internal communications or safety reports
- Surveillance or dashcam footage
Because this evidence is often controlled by manufacturers or technology companies, early legal action may be necessary to preserve it.
Serious Injuries in Autonomous Vehicle Accidents
Despite advanced safety features, autonomous vehicle crashes can still result in serious injuries, particularly when pedestrians, cyclists, or motorcyclists are involved. Some of the more severe injuries possible include traumatic brain injuries, spinal cord injuries, fractures and orthopedic trauma, and internal injuries. The severity of these injuries often leads to substantial medical costs, long-term care needs, and significant disruption to a victim’s life.
Injured victims may be entitled to compensation for all the ways they have been impacted, such as medical expenses, lost wages and reduced earning capacity, pain and suffering, and future medical care and rehabilitation. In cases involving defective products or egregious conduct, additional damages may be available depending on the facts.
Regulatory Oversight in California and the Importance of Early Investigation
California is one of the leading states regulating autonomous vehicles. The DMV oversees testing and deployment, requiring companies to report accidents and disengagements (instances where human drivers must take control). While regulatory compliance is important, it does not shield companies from liability if their vehicles cause harm.
Autonomous vehicle accident cases are highly technical and evidence-driven. Key data may be overwritten or lost if not preserved quickly. Identifying all responsible parties also requires a detailed investigation into how the vehicle was operating at the time of the crash. Because multiple defendants may be involved, these cases are often more complex than standard car accident claims.
Kalfayan Merjanian: Holding Self-Driving Technology Accountable for Injuries and Accidents in California
Autonomous vehicles promise safer roads, but when they fail, the consequences can be severe. Determining liability requires understanding both traditional legal principles and emerging technologies. At Kalfayan Merjanian, LLP, we investigate autonomous vehicle accidents by working with experts, analyzing digital evidence, and identifying all responsible parties. Our goal is to ensure that injured victims receive full compensation and that companies deploying this technology are held accountable when their systems cause harm.
If you or a loved one has been injured in an accident involving a self-driving car in California, contacting experienced legal counsel can help protect your rights and pursue the compensation you need to deal with the harm you’ve suffered. Call our office today for a free consultation to discuss your potential claims.
