Intelligenza Artificiale could break legal systems by finding previously hidden loopholes

Intelligenza Artificiale could break legal systems by finding previously hidden loopholes — Rassegna informativa e sintesi tecnica curata da PCNext sulla base del report documentato da The Register.

Sintesi della Notizia & Quadro dell’Evento

If AI can find the holes in programming code, it can do the same with legal code, paving the way for chaos.

Felix Ringe, a visiting fellow at Stanford Law School's liftlab and legal scholar, suggests large language models (LLMs) have become potent enough that they could break legal systems by identifying exploitable inconsistencies at scale.

Dettagli Tecnici & Approfondimento

"Legal systems encode the foundations of social order in natural language," Ringe and collaborator Linus Folkerts argued in a blog post last week. "Similar to computer systems, the written law can contain vulnerabilities that invite exploitation."

Ringe contends that while courts tend to pave over these text vulnerabilities through statutory interpretation, the ability to discover adversarially useful inconsistencies in the law in an automated way risks overwhelming the legal system's ability to bridge the gaps.

To buttress his thesis, he points to recent work by other legal scholars that frames laws as vulnerable code, such as " Legal Zero-Days : A Novel Risk Vector for Advanced AI Systems" and " Hardware and Software Bugs in the Legal System " [PDF].