Aerlix Labs / AI / Research interest
AI Assurance
What evidence supports trusting an AI system with a particular task?
SYSTEM ARCHITECTURE / AGENTS
Sensing → networking → compute → intelligence → human decision
Interactive model loads as you approach. The engineering scope and constraints are provided in the page text.
Research question
What evidence supports trusting an AI system with a particular task?
Approach to investigation
Develop adversarial evaluations around data integrity, model robustness, agent permissions and human oversight. Separate model quality from application enforcement.
Begin with a reproducible model and define the evidence that would challenge the hypothesis. Compare alternatives under both nominal and degraded conditions. Preserve assumptions, versioned inputs and observed failures.
Maturity & boundaries
Research interests are not certification or independent assurance of a deployed model.
Potential collaboration can establish a scoped experiment, evaluation criteria and an integration decision. No completion date, funding source or deployment status is implied.
Define the mission
Bring the hard problem.
Start with the operating environment, the constraints and the decision your system needs to support.