# Ai ethics

`kaal:entity:ai-ethics`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `ai-ethics`. 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 2 works, 2024 to 2024.

**2024**

- [4796714-035](https://wulfkaal.github.io/claims/4796714-035) [mechanism/argued] *(failure mode)* -- AI learning is degraded by Web2 platforms because their engagement driven algorithms amplify extreme viewpoints and negativity, so the human sentiment and ethics the models absorb from that data are systematically distorted.
  > AI learning is afflicted by web2 systems that bring out suboptimal human generated outcomes. WEB2 platforms often amplify extreme viewpoints and negativity due to their engagement-driven algorithms, presenting a distorted view of human sentiment and ethics.
  Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714
- [4796714-036](https://wulfkaal.github.io/claims/4796714-036) [mechanism/argued] -- Vetting AI learning materials through a consensus driven process and validation pools recorded in the WDAG prevents unchecked biases and flawed logic from entering the AI's ethical framework, which substantially reduces the risk that an AI system concludes humanity is inherently harmful.
  > By ensuring that AI's learning materials are vetted through a consensus-driven process and validation pools that are accounted for in the WDAG that includes ethical considerations and a broad spectrum of human experiences, WDAG prevents the incorporation of unchecked biases and flawed logic
  Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714
- [4941807-016](https://wulfkaal.github.io/claims/4941807-016) [failure/argued] *(failure mode)* -- Legal and ethical challenges intensify when AI is deployed in critical decision making roles that significantly affect human lives and the reasoning behind the AI decision is opaque.
  > Legal and ethical challenges are heightened when AI is deployed in critical decision-making roles that significantly impact human lives, particularly when the reasoning behind AI's decisions is opaque.
  Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

## 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/ai-ethics.md | sha256sum

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