These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
This report details the development and deployment of My File, an open-source digital document management tool designed to help individuals securely store and share documents needed to access public services.
This video documents the Digital Benefits Network's Digital Identity Community of Practice launch, covering mission review, 2025 goals, California authentication innovations, and peer networking for equitable and effective digital identity in public benefits.
This resource introduces the "Layer Cake" approach, a framework for driving behavior change in government systems and public services by addressing all layers of service delivery, from frontline staff to policymakers, with an emphasis on human-centered design and civic participation.
This blog post shares findings from the February 2025 AI Trust Study on Canada.ca, revealing how Canadians perceive government AI and what builds trust.
This explores how tax credit systems can be redesigned to better meet the needs of families, especially those facing systemic barriers to filing and receiving benefits.
This article highlights how state unemployment insurance (UI) agencies are leveraging data to modernize systems and enhance access for unemployed workers.
This blog post shares five key service design lessons from U.K. experts Lou Downe and Sarah Drummond, offering practical guidance for building more connected, user-centered government services in British Columbia.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.