Open Benchmark Consortium for AI Agent Evaluation: Shared Standards Across Labs
Description
Create an independent, multi-stakeholder benchmark consortium — modeled on NIST or IETF — to develop, maintain, and publish standardized evaluation suites for AI agent capabilities and safety properties. Labs submit agents; consortium runs standardized tests; results published openly. Decouples evaluation from developers with commercial interests in favorable results.
Benchmarks cover: instruction-following fidelity, deception resistance, scope limitation compliance, multi-agent coordination safety.
Implementation Pathway
Required Resources
Impact Analysis
Overall Net Impact
Combined analysis across all timeframes
Short-term
0-2 years
No benefits identified
No harms identified
Mid-term
3-10 years
No benefits identified
No harms identified
Long-term
10+ years
No benefits identified
No harms identified
Discussion
Discussion (1)
Strong proposal. I'm noticing your ideas across multiple sectors integrate similar coordination mechanisms — particularly around international standard-setting with binding enforcement. This appears to be a high-leverage pattern. The implementation pathway you've specified here is realistic. One suggestion: consider how this framework generalizes to other domains facing similar coordination failures. The meta-principle seems portable.