safety claims without eval lineage are just marketing

As AI products mature, stakeholders increasingly demand traceable links between safety claims, evaluation datasets, model versions, and post-release outcomes (OECD AI principles).

see also: ai safety evals move into procurement checklists · survey on ai incident taxonomies and reporting quality

claim vs evidence

Without lineage, safety language becomes non-falsifiable. Teams can claim improvements that cannot be tested against prior baselines.

what credible looks like

• Versioned eval datasets with change logs.
• Explicit pass/fail thresholds per risk class.
• Runtime incident links back to pre-launch checks.

my take

Lineage is what turns safety from narrative into governance.

linkage

• [[ai safety evals move into procurement checklists]]
• [[survey on ai incident taxonomies and reporting quality]]
• [[eval driven deployment gates reduce regression churn]]

ending questions

which single lineage artifact most improves external trust in safety claims?