An open benchmark and evaluation toolkit for detecting whether shared AI research assistants create correlated blind spots in AI safety-critical research, and for testing workflows that preserve independent reasoning and failure-m
An open benchmark and evaluation toolkit for detecting whether shared AI research assistants create correlated blind spots in AI safety-critical research, and for testing workflows that preserve independent reasoning and failure-m
Project Details
Updated 07/14/26 · Provided via application · VerifiedAI safety researchers increasingly use language models to generate hypotheses, review evidence, design evaluations, and analyse policy. This project will test whether repeated use of similar AI assistants causes independent analyses to converge on the same assumptions and overlook the same failure modes.
I will build a pilot benchmark using tasks from model evaluation, AI control, and governance. I will compare standard single-model assistance with independent-first analysis, multi-model comparison, and adversarial-dissent workflows.
The concrete outputs will be a public benchmark dataset, an open-source analysis toolkit, documentation, and a short technical report describing the findings and recommended research practices.
Theory of Impact
Updated 07/21/26 · By grantmaking.aiAI safety depends on identifying rare and unfamiliar failure modes before powerful systems are widely deployed. If many researchers and institutions rely on similar AI tools, their conclusions may appear independent while sharing the same underlying blind spots. This could create false confidence in model evaluations or governance decisions.
This project makes that risk measurable and tests practical ways to reduce it. The results could help evaluation teams, research organisations, and grantmakers design workflows that preserve independent judgment and improve coverage of possible failure modes. The project therefore addresses a risk amplifier within the institutions responsible for preventing catastrophic AI failures.
People
Updated 07/21/26 · By grantmaking.aiTeam Member
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