Data Handling &
Privacy Protocols.
CorpDoc Bias Analytics operates on the principle of forensic neutrality. Our privacy commitment ensures that the datasets we ingest for algorithmic auditing remain isolated, anonymized, and protected under Canadian PIPEDA standards.
Data Collection
We collect only the technical metadata and anonymized training vectors necessary to perform a Disparate Impact Analysis. This includes sample classifications and feature distributions used in your AI models.
Analytical Usage
Personal data is never "trained" upon for our internal systems. Data provided for auditing is transient; it exists within our secure environment only for the duration of the statistical disparity testing.
Third-Party Policy
CorpDoc does not sell, lease, or distribute audit findings or client data to any marketing entities. All reports are exclusively for the client and regulatory compliance bodies as designated by the user.
The Forensic Mandate
In the Canadian IT landscape, the Personal Information Protection and Electronic Documents Act (PIPEDA) sets the threshold for ethical data stewardship. At CorpDoc Bias Analytics, we treat "bias" as a technical debt—a structural failure in data architecture that necessitates forensic precision to rectify.
Our methodology treats every dataset as a cold artifact. We analyze selection rates, outcome distributions, and protected attribute correlations without retaining the underlying identity of the individuals represented. Transparency is not a marketing term; it is the baseline of our legal obligation to the fair AI development community.
Archive Entry: Diagnostic Standards
Data Security Framework
100%
Data Integrity Bound
256b
Encryption Standard
Subject Access Request
Under your rights as a data subject, you may request clarification on how your organization’s bias reports are archived or purged.