Data quality is only part of the equation.
When AI is being trained and evaluated, there are a few questions worth asking:
- Can each contribution be traced?
- Who contributed the data?
- Was their domain expertise verified?
- Is there a verifiable audit trail of how it was produced and validated?
For high-stakes AI, “high-quality” data isn’t enough.
It needs to be expert-validated, traceable, and auditable.