aisafetyresearch

AI safety testing frameworks

Develop tools and methodologies for testing frontier AI systems for safety and alignment. Target AI labs and researchers working on advanced models.

Why now

As AI capabilities advance rapidly, the need for robust safety testing grows more urgent.

Who for
AI researchers
Business model
Enterprise tool licensing
Effort
A few months

Evaluating advanced AI systems for potential risks lacks standardized tools and methodologies.

Build a framework for systematic testing of model behaviors, including adversarial testing scenarios.

Sell to AI labs and research institutions concerned about responsible development.

Start with basic safety test suites then expand based on researcher feedback.

Risk: Niche market may be slow to adopt new testing approaches.

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AI safety testing frameworks — Ideas