Research, articles, and guides on forensic ontological certification, AI regulatory compliance, and the cognitive state of the art.
Analysis and perspectives on the foundations of forensic ontological certification and its impact on the industry.
Why traditional compliance methods are insufficient given the speed of evolution of AI systems. A new category: the mathematical proof of ontological conformity.
The difference between a static audit and a system that dynamically preserves the state of the art. Forensic metacognition and chain of custody in multi-agent systems.
Ensembles of multiple AI models as the basis for forensic certification. Redundancy, consensus, and cross-validation as foundations of certifiable truth.
Technical and academic documents on the protocol architecture and its applications.
Why static compliance methods are legal negligence and how an ontological protocol resolves regulatory obsolescence.
Architecture for the chain of custody of decisions in autonomous agent topologies with compositional reasoning.
Real applications of the protocol in critical sectors. Coming soon.
Bias detection across 8 protected variables. CCPA and Equal Credit Opportunity Act compliance.
Inference traceability in clinical diagnostic support systems with regulatory audit requirements.
Application of the protocol to guarantee transparency and the absence of bias in judicial decision support systems.