Data Provenance & Audit Trail

Trace Every Voice in Your Dataset Back to a Named Individual

Full provenance documentation from speaker to dataset. Identity verification, consent records, collection methodology, demographic metadata, and EU AI Act data cards. Every dataset is audit-ready.

EU AI Act compliant. Norwegian entity. European servers.

Provenance verified

Speaker

ID-verified, named individual

Consent

Timestamped, revocable, auditable

Recording

Session metadata + environment

QA Review

Human-verified quality gate

Dataset

EU AI Act data card attached

The Provenance Chain

Six Links. Every One Documented and Auditable.

Data provenance is the complete chain of custody from the moment a contributor is identified to the moment your dataset is delivered - and beyond. Each link is independently verifiable.

01

Contributor Identity

Government ID verification. Real name, real person, real location. No anonymous crowd workers.

02

Informed Consent

Individual consent with explicit purpose, duration, and right-to-erasure. Not a blanket platform TOS.

03

Recording Session

Environment metadata, device specs, acoustic conditions, timestamp, session duration. All captured automatically.

04

QA Review

Human quality review with pass/fail criteria. Rejected recordings documented with reason codes.

05

Dataset Delivery

EU AI Act data card, speaker metadata, collection methodology report, and QA metrics bundled with every delivery.

06

Ongoing Right-to-Erasure

Contributors can request data removal at any time. Erasure propagates through the chain and is confirmed in writing.

Regulatory Framework

EU AI Act Provenance Requirements

Since August 2, 2025, deployers of high-risk AI systems must document data provenance. Here is what the regulation mandates - and what YPAI delivers by default.

Article 10 - Data Governance

Mandatory Data Provenance Template

High-risk AI systems require full technical documentation of training datasets, including data types, sources, collection methodology, and provenance chains. This is not optional - it is a legal requirement with penalties up to 7% of global annual revenue.

Data types and sources documented
Collection methodology disclosed
Bias detection and mitigation
Data quality metrics reported
Article 11

Technical Documentation

Detailed description of data processing and preparation, including annotation, labelling, cleaning, enrichment, and aggregation. Every YPAI dataset ships with this.

Article 72

Post-Market Monitoring

Providers must update documentation every 6 months. YPAI data cards include version tracking and update schedules built in.

Penalty

Up to 7%

of global annual revenue for non-compliance

Every Delivery Includes

What Ships With Every YPAI Dataset

No add-ons, no premium tiers. Every dataset delivery includes the full documentation package your compliance team needs.

Regulatory

EU AI Act Data Cards

Structured provenance documentation following the mandatory template. Data types, sources, collection methods, bias assessments, and quality metrics - formatted for regulatory submission.

Demographics

Speaker Metadata

Age range, gender, accent classification, dialect, recording environment, device specifications. Demographic representation metrics across your full dataset.

Legal

Consent Documentation

Individual consent records with timestamps, explicit purpose declarations, duration terms, and documented right-to-erasure pathways. Not platform TOS - individual auditable consent chains.

Technical

Collection Methodology Report

Detailed documentation of recording protocols, quality criteria, environment specifications, annotation guidelines, and inter-annotator agreement metrics.

Quality

QA Metrics Report

Pass/fail rates, rejection reason codes, signal-to-noise ratios, transcription accuracy scores, and human review coverage percentages. Full transparency on data quality.

Provenance Comparison

Crowdsourced vs Vetted Provenance

The difference between platform-mediated consent from anonymous workers and individually auditable consent chains from named contributors.

Dimension
Crowdsourced
YPAI Vetted
Contributor identity
Anonymous platform usernames
Government ID-verified, named individuals
Consent mechanism
Platform Terms of Service (blanket)
Individual consent per project with explicit purpose
Consent auditability
Platform-mediated, no direct access
Individual timestamped records, independently auditable
Right to erasure
Unclear propagation path
Documented process, confirmed erasure within 30 days
Demographic metadata
Self-reported, unverified
Verified age, gender, accent, dialect, location
Recording environment
Unknown or self-reported
Captured automatically: device, noise level, room type
EU AI Act readiness
Requires additional documentation effort
Data card included with every delivery
Start Your Audit

Every Dataset Audit-Ready. No Retrofitting.

Request a sample data card to see what full provenance documentation looks like, or get a custom quote for your next training data project.

Norwegian entity · European jurisdiction · Zero CLOUD Act exposure