Lesson 1489 of 2116
Tracking Refusal Policy Changes Across Model Updates
A model update can newly refuse prompts that worked yesterday; build a refusal-canary set to catch it.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2refusal policy
- 3canaries
- 4regression testing
Concept cluster
Terms to connect while reading
Section 1
The premise
Maintain a small fixed set of legitimate prompts and run them on every model version to catch new refusals before users hit them.
What AI does well here
- Detect newly-blocked benign prompts
- Get ahead of user complaints
- Provide vendor with concrete regression cases
What AI cannot do
- Reverse a vendor's policy decision
- Cover every refusal class with a small set
- Replace user feedback channels
Key terms in this lesson
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