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AI-Powered Search and Extraction for Energy Regulatory Assessments

Accountable
Canada Energy Regulator (CER)
Functional Modes
Sensing (Perceptive AI)
Autonomous
Purpose
Inform
Input Dataset
Operational data Anonymized data
Algorithm or Model
Classification & Prediction
Output Dataset
Operational data Anonymized data

BERDI uses machine learning to extract structured data — tables, figures, keywords, and metadata — from Environmental and Socio-economic Assessment documents submitted to the Canada Energy Regulator since 2003. It makes this information searchable online for both government staff and the general public. The system applies safeguards to identify and exclude culturally sensitive Indigenous Knowledge before publishing extracted content. No personal information is collected or processed.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta

Government of Canada – DTPR AI Register