Verify data compatibility: Which action is best? | AIGP
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Verify data compatibility: Which action is best?

AIGP Understanding How to Govern AI Development Medium

Checking compatibility before a controlled rollback prevents the remedy from creating a separate record-access failure.

The question

An internal employee assistant’s new release corrupts conversation context. The prior version appears safer, but its stored records use an older schema. Before rollback, the team must preserve access to existing records. Which action is best?

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  1. Rollback immediately using the previous deployment package.
    Immediate rollback may restore behavior but could make existing records inaccessible if schema compatibility is unresolved.
  2. Migrate all records after rollback without testing compatibility.
    Unvalidated migration after rollback could compound corruption or access problems instead of controlling the transition risk.
  3. Verify data compatibility, then execute a controlled rollback. ✓
    Compatibility verification protects record access while a controlled rollback addresses the observed release failure.
  4. Keep the release active while comparing user satisfaction trends.
    Trend comparison may inform longer-term evaluation but leaves the known context-corruption behavior operating meanwhile.
The trap
Before rollback, check whether data, schemas, interfaces, or stored state remain compatible with the earlier version.

How to remember it

Checking compatibility before a controlled rollback prevents the remedy from creating a separate record-access failure.

How many of these would you get right?

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