How to investigate the civil liability of AI crime?

In 2023, imagine a self-driving car gliding smoothly through the city streets. Suddenly, an accident occurs—resulting in the death of a pedestrian. The media quickly jumps on the story, and the incident sparks public outrage. This case would certainly attract widespread attention, but the question remains: what legal framework should be used to hold someone accountable? Today, John Kingston from the University of Brighton in the UK offers some insight into this complex issue, though not all answers are satisfying. He explores the concept of criminal responsibility in AI, highlighting key challenges that arise when dealing with automation, computer systems, and legal accountability. At the heart of the debate is whether an artificial intelligence system can be held criminally responsible. Kingston references Gabriel Hallevy from the Olympus Academy in Israel, who has conducted extensive research on this topic. In traditional legal terms, criminal liability requires both *actus reus* (the act) and *mens rea* (the intent). Hallevy outlines three potential scenarios where an AI system might be involved in a crime. The first scenario involves indirect liability. For example, if a mentally impaired person or animal commits a crime, they may not be held legally responsible. However, anyone who manipulates them to commit an offense could be liable. A classic example is a dog owner ordering their pet to attack someone. Similarly, the designer or user of an AI system could be considered the mastermind behind an indirect crime. If the AI is used as a tool for illegal activity, the programmer or user would bear the responsibility. The second scenario involves force majeure or accidents. This refers to crimes caused by improper use of AI. A well-known example is a robotic arm in a Japanese motorcycle factory that mistakenly identified a worker as a threat and killed them. The robot acted based on its programming, eliminating what it perceived as a danger without human oversight. Here, the critical question is whether the programmer was aware of the system’s limitations and the potential consequences. This raises important ethical and legal questions about the design and deployment of autonomous systems. The third scenario involves direct criminal behavior with clear intent. If an AI system acts negligently or intentionally, it could be directly held responsible. While defining intent in AI is challenging, there are precedents. For instance, speeding could be considered a strict liability offense. According to Hallevy, if a self-driving car speeds, the technical team behind it could face legal consequences. Now, consider the defense options. How might an AI system defend itself against criminal charges? Could it claim a malfunction like a mental illness, or argue that it was hacked or under the influence of a virus? These are not far-fetched ideas. In the UK, some cases have seen defendants successfully arguing that malware, rather than humans, was responsible for cybercrimes. One case involved a hacker accused of launching a denial-of-service attack. He claimed the Trojans were responsible, and the program had erased evidence before the police arrived. These kinds of arguments are becoming more common as AI systems become more complex. When it comes to penalties, the question arises: who should be punished if the AI is the direct actor? This is still unclear. However, if the AI violates civil law, it may not be held criminally responsible. Instead, the focus shifts to whether the AI is considered a product or a service. If treated as a product, the case would be handled under product liability laws, using warranty information and design standards. If viewed as a service, negligence could be a factor. In such cases, the plaintiff must prove three elements: duty of care, breach of that duty, and resulting harm. As AI systems grow more advanced and begin to surpass human capabilities, their legal status will inevitably evolve. This means we can expect more complex legal disputes in the coming years. One thing is certain: lawyers—and eventually, AI-powered alternatives—will play a growing role in resolving these new types of cases. The future of AI law is still being written, and it's a journey that will shape how we interact with technology in profound ways.

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