Regulatory Protocol 2026

Privacy Policy

This document identifies our rigorous standards for data handling within the context of algorithmic bias auditing. At BoardKit AI Ethics, transparency is the baseline for functional trust in automated systems.

Document Status
Active / Revised June 01, 2026

1. Data Collection Framework

BoardKit AI Ethics collects information necessary to perform forensic bias audits and provide consulting services. This is strictly limited to contact details provided through inquiry forms and specialized datasets uploaded for algorithmic verification purposes.

When auditing an automated system for unintended bias, we process training data snapshots and model decision logs. We advise all Canadian business partners to anonymize datasets before intake to ensure full compliance with the Personal Information Protection and Electronic Documents Act (PIPEDA).

Verification Artifacts Collected:

  • Business Name & Contact Points
  • Model Performance Metadata
  • Demographic Variable Proxies
  • Historical Decision Logs
Forensic Audit Infrastructure
Reference: Core_Infra_Node

2. Internal Information Usage

The primary use of collected information is the delivery of bias mitigation reports. We utilize global academic standards—such as Demographic Parity and Equalized Odds—translated for the Canadian social and legal context to evaluate your systems.

Data is never used for secondary training purposes or sold to third-party analysts. Any information processed remains siloed within the specific scope of your organization’s audit perimeter.

3. Security of Audit Data

We treat client model data as high-sensitivity intellectual property. All forensic forensic dossier transfers utilize AES-256 encryption at rest and TLS 1.3 in transit. Our local Toronto-based infrastructure is isolated from public training pools to prevent data leakage.

PROT_01

Encryption of all incoming metadata snapshots.

PROT_02

Multi-factor physical and digital access controls.

PROT_03

Scheduled data purging upon audit completion.

4. Access and Rights

Under Canadian privacy law, individuals and organizational representatives have the right to access, rectify, or request the deletion of their personal information. Because our work centers on transparency and algorithmic accountability, we facilitate these requests within a 48-hour response window.

Need Legal Clarification?

If you have questions regarding the handling of sensitive datasets or the scope of our bias audits, contact our Toronto team directly.

Administrative Office
250 Yonge St, Toronto, ON M5B 2L7, Canada
Direct Communication
[email protected]
Transparency Elements

"Fairness is not a static state; it is a measurable property of a well-governed infrastructure."

BoardKit Institutional Ethos

© 2026 BoardKit AI Ethics — Forensic Algorithmic Auditing