Autonomous Research, Auditable by Design

A platform that runs autonomous research at this scale has to be built so that humans can verify what it is doing. The Governance & Safety Institute provides that verification layer. It runs continuous red-teaming, mechanistic interpretability probes, hallucination audits, dataset-provenance checks, dual-use screens, and conflict-of-interest detection against every other institute’s outputs. It enforces FDAaligned credibility methodology and the joint AI-in-drug-development guiding principles now shared across U.S. and European regulators. It maintains a Concept Substitution Detector that algorithmically refuses surrogate-for-disease swaps. The principle is simple: the more autonomous the platform becomes, the more rigorous and explicit its safety posture must be.

Value proposition:

• Continuous red-teaming and interpretability probes
• Algorithmic refusal of concept-substitution traps
• Regulator-aligned governance, not after-the-fact compliance