AI Liability Gap: Who Pays When Things Go Wrong?

As AI technology advances beyond simple chatbots, developers and deployers are facing a pressing question: who is legally responsible when an autonomous system behaves unexpectedly and causes real-world harm or financial loss?

According to Charlyn Ho, CEO of Rikka Law Group, the answer lies in applying longstanding legal frameworks like negligence, reckless disregard, and computer crime laws.

Negligence risk can shift toward the deployer if they supplied unsafe instructions or deployed parameters without reasonable safeguards. Open-source code can limit practical recourse when licenses disclaim liability and users remain responsible for complying with license terms.

The EU AI Act assigns responsibilities to developers of certain high-capability models, whereas in the U.S., there is no single statute with comparable breadth. This creates a gap in liability, making it difficult to establish a strong legal basis to sue the labs, especially if the primary causal driver is the user's directive.

The issue of remedies also arises when dealing with future 'AGI' systems, as they may not have money or the ability to satisfy damages in the way legal systems typically require. Ho compares this to blockchain's nature as automation rather than personhood, stating that without personhood-like attributes and funds, legal responsibility may not translate into real-world accountability.