AI's Exception Problem

LLM systems operate like closed legal systems that apply learned rules but cannot genuinely ‘decide’ novel exceptions that demand discretionary judgment; treating them as autonomous decision‑makers risks delegating crisis authority to systems that structurally cannot assume sovereignty. This reframes AI risk from narrow technical failures to a political problem about who holds exceptional authority in emergencies. — If true, it shifts AI governance from technical safety checks to questions about delegation, emergency powers, and institutional limits on algorithmic authority.

Sources

The "Exception" and So-Called "Artificial Intelligence"

κρῠπτός 2026.03.14 100% relevant

The article explicitly invokes Carl Schmitt’s line “Sovereign is he who decides the exception” and claims LLMs share the same fundamental flaw as the modern rule‑of‑law — an inability to handle exceptions.

159. The "Exception" and So-Called Artificial Intelligence

κρῠπτός 2026.03.14 92% relevant

The podcast explicitly uses Carl Schmitt’s notion of the 'exception' to argue that LLMs share a structural, 'fatal' inability to handle exceptional or norm‑breaking cases—the same core claim captured by the existing idea 'AI's Exception Problem'. The host (κρῠπτός) draws the parallel between the legal/political limit of the rule‑of‑law in crises and LLMs' failure modes, linking a named work (Political Theology) to LLM algorithmic behavior and governance implications.