Risk LabEarly evidencev1.15.0
In plain English
This page provides local browser worksheets. They help plan reviews; they are not formal safety certifications.
- Why this matters: AI risk can come from the whole arrangement, not one obvious model.
- What to look for: data, memory, routes, adapters, tools, evaluators, updates, and rollback paths.
- Technical version below: the expert terminology remains available and is linked through the glossary.
Synthetic Feedback and Collapse Review
All inputs are local to the browser-side page when rendered by this implementation. These worksheets are planning tools, not certification methods.
Synthetic Feedback and Collapse Review
Planning worksheet only. It does not claim that all synthetic data is unsafe; it checks unmanaged recursion and diversity loss.
This worksheet does not say synthetic data is inherently unsafe. It asks whether recursive data loops are labeled, bounded, and checked.