Privacy
Policy

We collect information necessary to provide expert consulting and research on algorithmic fairness. This includes professional contact details, corporate recruitment workflow data, and anonymized historical applicant datasets provided for auditing purposes.

Usage data is captured exclusively to monitor the security and performance of our research portals. We do not engage in broad consumer tracking or the sale of personal information to third-party marketing entities.

In accordance with our neutrality standards, client datasets for algorithmic fairness audits are retained only for the duration of the engagement plus a standard 12-month archival period for validation stability.

Following this window, raw datasets are sanitized or destroyed using industry-standard cryptographic erasure. We prioritize the confidentiality of proprietary recruitment processes above all secondary research interests.

Consent is the structural foundation of our methodology. Explicit authorization is required before any algorithmic assessment begins. Users may withdraw consent at any time, though this may impact the validity of ongoing fairness certifications or bias reports.

If you are an applicant whose data is part of a corporate audit, your primary relationship is with the hiring entity. Econ Intel acts as a Data Processor to facilitate objective fairness analysis.