SOURCE Making_Autonomous_AI_Insurable.png
MD5 1e3b36a9 · made 2026-10-12 · NotebookLM infographic · OCR tesseract 5.5.1

Making Autonomous Al Insurable: From Probabilistic Risk to Cryptographic Flight Recorders

Traditional insurance exclusions often reject unmeasured generative Al risks due to inherent probabilistic uncertainty. New approaches, like ThetaDriven,
solve this by utilizing Ed25519-signed append-only flight tapes and parametric boundary containment, transforming Al into an auditable, insurable asset.

The Problem:

Probabilistic Flaws &  -
Misunderstood Limits

The Solution:
Cryptographic Flight Recorders
& Parametric Rails

Dual-Tape Ledger Synchronizes
Coding and Deployment
Binds git development flight tapes

alongside live LLM model
execution turns.

Semantic Logic
Correctness Is
Mathematically
Undecidable.

Errata Category Frequency Common Misconception

Assumes agent is hard-caged

enna 56% _ without checking the

underlying audit record

Pursuant to Rice's
Theorem, static

model reasoning 0
cannot be guaranteed 56% of Automated

, Summaries Hallucinate : : ;
aes False Safety Cages @P Unsourced — 56 0 Fobicas per ore eS Parametric Warranties Independent Zero-Network
5 : ae 4b” Figures ° hot in source files Bound Risk to Recomputations Eliminate
auintetivet aur erlere ee Mechanical Adherence Discovery Friction
erpre 2 Recorders : Confuses cryptographic audit : : . ‘ : :
as active kill switches or ae Brakes 38% _ tapes with active kill switches Coverage applies strictly to Carriers verify claims locally using
or forced blocks

boundary containment and token open-source tools without calling
context cellings, not semantics. vendor servers.

absolute boundaries.

AN Gemini Notebook