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.

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.

Source:https://x.com/PerleLabs/status/2086845039473467402