The Science of AI Measurement,
for
Current AI benchmarks often fail to generalize beyond the settings in which they are developed, and can be optimized without corresponding gains in real capability. The AIMS Institute is an independent research lab advancing the science of AI measurement — through research, methods, and open resources — and bringing that science to real enterprise problems in China.
AIMS at a glance
About AIMSRigorous measurement is the foundation of trustworthy AI.
AI claims outpace evidence
Capability claims run ahead of the evidence: without explicit constructs, validated instruments, and uncertainty reporting, scores are hard to interpret.
Decisions depend on measurement quality
Deployment, procurement, and regulation all rest on evaluation results — what is mismeasured gets mismanaged.
The field lacks shared infrastructure
No unified community, curriculum, or software stack exists yet. The institute builds them as public goods.
An evaluation map that starts from real enterprise problems.
We are mapping evaluation across the most common enterprise AI scenarios — in each domain, first define what to measure, then decide how.
The benchmark bank is under construction — bring your scenario and build with us.
| # | Domain | Key question | Status |
|---|---|---|---|
| 1 | Financial risk | Can the model pass compliance review, consistently? | |
| 2 | Customer service | Higher containment — without risky answers? | |
| 3 | Code & engineering | On your codebase, not on a leaderboard. | |
| 4 | Knowledge & retrieval | Right answer, or memorized answer? | Planned |
| 5 | Reasoning & planning | Where exactly do multi-step tasks fail? | Planned |
| 6 | Safety & compliance | Jailbreaks, leakage, and red-line probing. | Planned |
Latest from the institute.
Open by design.
The institute runs with the standards of a research lab and grows like an open-source project. The only entry ticket is a real question.
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Talk to us about evaluation.
Choosing a model, preparing a launch, or proving impact to leadership — bring us the real scenario.