# kaal:claim:3782201-012

**Claim.** Suggestions that artificial intelligence will solve the rigidity of centralized reputation systems are misguided and will fail for the same reason, because neural networks are merely a complex mathematical architecture for statistical regression, which is always extremely unreliable when applied to novel situations.

**Type.** failure  **Support.** argued

**Holds when.**

- where new social situations continually arise that lie outside the training distribution

**Source quote.**

> Suggestions that AI will solve these problems are misguided, and will fail for the same reason. Neural networks are merely a complex mathematical ar- chitecture for performing statistical regression, which is always extremely unreliable when applied to novel situations.

**From.** Craig Calcaterra, Wulf A. Kaal, *Future of Decentralization* (2021), Reputation systems and Orwellian nightmares, page 17

**Cite as.** Craig Calcaterra, Wulf A. Kaal, Future of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782201

**Verify.** sha256 of source PDF `bedf7bcfbb7a9b0112b5848cb0d941b1d41f330dafeee0143a30ff5e8aa53700` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Calcaterra%20and%20Kaal%20-%202021%20-%20Future%20of%20Decentralization.pdf

**Failure mode.** regression failure on novel situations  (family: ai-model-and-training-failure)

**Topics.** ai-and-agents

**Keywords.** artificial-intelligence, neural-networks, novelty, social-credit, brittleness

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.