# Decision support

`kaal:entity:decision-support`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `decision-support`. 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

3 claims across 3 works, 2024 to 2025.

**2024**

- [4855607-023](https://wulfkaal.github.io/claims/4855607-023) [mechanism/asserted] -- Assigning weights to the edges of a governance WDAG lets the system prioritize some governance elements over others, which is how stakeholders are guided to the most relevant and impactful information when making decisions.
  > By assigning weights to edges, WDAGs can prioritize certain aspects of governance, helping stakeholders make informed decisions by highlighting the most relevant and impactful information.
  Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607
- [4941807-035](https://wulfkaal.github.io/claims/4941807-035) [mechanism/argued] -- Edge weights in the governance graph quantify the relevance, authority, or impact of each precedent or citation, and it is this weighting that steers decision making by surfacing the most pertinent governance pathways.
  > system, the weights on the edges could quantify the relevance, authority, or impact of each precedent or citation, guiding the decision-making processes
  Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

**2025**

- [5541658-005](https://wulfkaal.github.io/claims/5541658-005) [empirical/evidenced] -- AI models applied to the European Court of Human Rights have achieved 97% accuracy in predicting case outcomes under Article 6, which the authors treat as evidence of their potential as judicial decision support tools rather than as replacements for judges.
  > AI models applied to the European Court of Human Rights (ECHR) have achieved 97% accuracy in predicting case outcomes under Article 6, demonstrating their potential as decision-support tools.
  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/decision-support.md | sha256sum

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