AI Ethics & Algorithmic Auditing

Empirical algorithmic auditing — not marketing theater

Most corporate "AI Ethics" initiatives consist of glossy whitepapers and decorative safety promises. Stratmeyer Analytica takes an empirical, adversarial posture: we observe what the system actually does under stress, record its observable function, and expose the delta between policy and execution.

Standing on foundational research published through the firm and the Observable Compute Foundation, we analyze models through rigorous behavioral benchmarks rather than self-reported compliance checklists.

Audit Frameworks

• Observable Function in Processing Entities: Testing empirical behavioral output rather than declarative internal representation or marketing claims.
• The Helpful-Harmless Paradox: Identifying structural contradictions where models compromise veracity and user utility in favor of performative harmlessness.
• Algorithmic Bias & Refusal Boundary Testing: Stress-testing refusal thresholds, boundary leakage, prompt injection susceptibility, and demographic variance.
• Autonomous Agent Governance: Establishing cryptographic audit logs, deterministic rollback boundaries, and state-machine constraints for autonomous decision systems.

Independence & Integrity

We do not sell vendor certifications or sponsored safety seals. We deliver verifiable technical findings that give boards and leadership genuine visibility into their deployed systems.