# Generalization

`kaal:entity:generalization`

**Status.** derived

This node is assembled mechanically from the 2 claims that carry the concept tag `generalization`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

2 claims across 2 works, 2024 to 2025.

**2024**

- [4855607-004](https://wulfkaal.github.io/claims/4855607-004) [failure/evidenced] *(failure mode)* -- Deep learning models adapt to changes in data distribution far less readily than human learning does, which limits their reliability once the operating environment diverges from the training data.
  > Furthermore, deep learning models are not as adaptable to changes in data distribution as human learning, which can adapt more quickly to new situations and contexts.
  Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

**2025**

- [5541658-002](https://wulfkaal.github.io/claims/5541658-002) [failure/argued] *(failure mode)* -- Early legal expert systems failed because they were brittle: they could not handle unforeseen complexity and could not generalize beyond the domains they were explicitly programmed for.
  > However, early expert systems were brittle, struggling with unforeseen complexities and lacking the ability to generalize beyond their programmed
  Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/generalization.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.