Research Methodology and Measurement
How can AI economic claims be measured, compared, and reproduced?
RESEARCH PILLAR F · PLANNED PROGRAM
Guiding question
How can AI economic claims be measured, compared, and reproduced?
Areas of inquiry
Compute and energy measurement; benchmark normalization; units; uncertainty; total cost of ownership; successful-task accounting; data provenance.
Initial investigation
We will begin with explicit definitions, a source review, and a reproducible model or measurement protocol. Cost estimates will separate assumptions from observations and report uncertainty.
Current outputs
No reviewed research has been released in this pillar yet. Approved publications and artifacts will appear in the publication library.