How to design a joint AI evaluation lab
A joint lab should be a governed way to create decision evidence across organisations, with shared methods but explicit ownership of systems, data and conclusions.
Benchmark, experiment and evidence methods for credible agent research.
A joint lab should be a governed way to create decision evidence across organisations, with shared methods but explicit ownership of systems, data and conclusions.
A credible AI success story separates what was delivered from what changed, defines the baseline, shows the contribution chain and preserves uncertainty and permission.
Attendance, speaking and sponsorship are evidence of activity; useful conference claims require separate measures of learning, relationships, follow-through and resulting decisions.
A durable agent benchmark needs a declared construct, protected cases, reproducible execution, uncertainty, governance and limits on the claims its scores can support.
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Read the method, assumptions and questions to ask.