Claims

Human expert review is the most credible but slowest and most resource-intensive evaluation method

Claim · All claims
Evidence · 1 study · theoretical r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Among evaluation methods, human expert review is the most credible but also the slowest and most resource-intensive, and remains the foundation for defining quality and consistency. → Li 2026

Evidence

Li 2026

Li, W., Kurimchak, M., & Whitmer, J. (2026). ATS Field Note: AI Model Evaluation. ATS Hub Field Note Series. https://doi.org/10.51388/20.500.12265/300

q2 · i? · theoretical · r2

The field note's spectrum of evaluation methods characterizes human expert review as "the most credible, but also the slowest and most resource-intensive". This is the authors' framework judgment, not a measured comparison.

"Human expert review is the most credible, but also the slowest and most resource-intensive. It remains the foundation for defining quality and consistency."

Discussion

Page metadata
Field Value
type claim
id human-expert-review-most-credible-slowest
title Human expert review is the most credible but slowest and most resource-intensive evaluation method
description Human expert review is the most credible but slowest and most resource-intensive evaluation method
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — li-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.