We work on the structures around intelligent systems: the boundaries that constrain them, the mechanisms that verify consequential actions, the evidence that makes failures legible, and the architectures that preserve meaningful control as systems become more capable.
Systems that remain bounded and resilient as autonomy, access and capability increase.
Independent mechanisms for checking consequential behavior before trust is assumed.
Structures that make intelligent systems inspectable when outcomes need to be reconstructed or explained.
Architectures for coordinating increasingly capable systems without surrendering meaningful control.
Define what a system is permitted to do before action occurs.
Ground consequential action in current, inspectable information.
Check important actions independently rather than relying on self-assessment.
Keep consequential decisions human where judgment is required.
Preserve enough evidence to understand what happened and why.
Not disruption for spectacle. Structure opened with precision, so intelligence can move through it.
State expected outcomes before results are known.
Preserve the evidence needed to reconstruct what happened.
Trace failures to the system or assumption responsible.
Test whether a correction addresses the failure that produced it.
Report limitations and negative findings alongside favorable results.
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