This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
The Digital Benefits Network's second Digital Identity Community of Practice quarterly call centered exploring client support models in digital identity and an update on the Balance ID project.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
On July 16, members of the Digital Identity Community of practice gathered to learn how peers are gathering beneficiary feedback on their experiences with accounts and proving their identity.
This guide outlines ethical frameworks and best practices for responsibly collecting and using demographic and other sensitive data to build equitable digital products.
Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
Canada’s Digital Standards are a set of principles that guide how public servants design, build, and run government digital services so they’re user-centered, accessible, secure, open, and trustworthy.
This framework provides a structured approach for ensuring responsible and transparent use of AI systems across government, emphasizing governance, data integrity, performance evaluation, and continuous monitoring.
