# kaal:claim:4755632-037

**Claim.** The reputation score mechanism helps discern malicious actors from simple mistakes and protects workers and verifiers from fraudulent requesters and suboptimally designed requests, so reputation serves as a bidirectional screening device rather than only a worker rating.

**Type.** mechanism  **Support.** asserted

**Holds when.**

- applies to the ALE Platform

**Source quote.**

> The reputation score mechanism helps discern malicious actors and simple mistakes. It also protects workers and verifiers from fraudulent requesters and suboptimally designed requests.

**From.** Wulf A. Kaal, *AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning* (2024), Removing Cost of Micro Task Work Duplication, page 48

**Cite as.** Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632

**Verify.** sha256 of source PDF `972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Learning%20-%20Decentralized%20Governance%20to%20Optimize%20Human%20Output%20Datasets%20for%20AI%20Learning.pdf

**Topics.** reputation

**Keywords.** reputation-scores, fraud-screening, worker-protection, platform-design

**Related claims.**

- extends: https://wulfkaal.github.io/claims/3128900-028

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