Cookie
Policy
Operational transparency starts at the browser level. We deconstruct how Chiefly AI utilizes local storage to facilitate your interface experience.
The Definition of Data Persistence
A "cookie" is a forensic packet of data stored on your device. For Chiefly AI, these artifacts are not tools for surveillance, but functional requirements for maintaining state in complex Explainable AI visualizations.
We operate on a principle of minimal retention. If a tracker does not directly contribute to the clarity or delivery of an automated decision report, it is excluded from our infrastructure.
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01
Session Integrity
Ensures your progression through a transparency audit remains consistent as you navigate different model layers.
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02
Preference Mapping
Remembers your technical threshold settings for SHAP and LIME visualizations across browsing sessions.
Active Logic Trackers
Scanner Active| Designation | Function | Duration |
|---|---|---|
| CHIEFLY_AUTH | Secure access to transparency reports and client dashboard. | Session |
| XAI_PREFS | Storage of visualization thresholds and feature attribution filters. | 1 Year |
| ANALYTICS_ID | Aggregated, non-identifying usage metrics to optimize system performance. | 2 Years |
Every data node is encrypted. We do not sell forensic user artifacts to third-party marketplaces.
View Privacy LogicEssential Tracking Only
Our internal compliance dictates that cookies must be isolated from personal biological identity. We track interactions with model nodes, not the individuals behind the screen.
Governance Rights
User autonomy is the core of Chiefly AI's philosophy. You maintain absolute control over the data footprints left during your audit sessions.
Removal Protocol
You may purge all site-originated cookies via your browser settings at any moment. Note that this will reset your feature attribution history.
Analytical Opt-Out
Non-essential telemetry for system optimization can be managed via our integration hub or through your standard browser "Do Not Track" headers.
Verification
& Compliance
Global Protocol Audit 2026
External Data Nodes
Our platform periodically integrates with industrial-standard explainability libraries (such as those providing LIME or SHAP visualizations). These third-party modules may attempt to cache non-identifying technical data for compute optimization.
Chiefly AI restricts these modules to sandbox environments where possible, ensuring that external technical artifacts do not cross-reference with your primary organizational data.
Contact Information
For inquiries regarding our forensic data storage methodology or to request a full audit of your session artifacts, contact our security officer at:
Montréal, QC H3B 4L8, Canada
Visual Verification Environment
Questions on
Transparency?
Chiefly AI is committed to the EU AI Act and global transparency frameworks.