AI database access requires a "completeness contract" to ensure that results are not only numerically correct but also fully representative. This contract should define the expected data population, including sources, entities, regions, and metric versions. Crucially, the system must return evidence alongside the results, detailing aspects like observed sources, row counts, and any missing or incomplete data. The AI should explain why a result might be partial but should not unilaterally decide if the missing data is acceptable or present a partial result as complete. AI
IMPACT Highlights the need for robust data validation and transparency in AI systems that access databases to ensure reliable and auditable results.
RANK_REASON The item discusses best practices for AI database access, framing it as a commentary on system design rather than a new release or product launch.
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