A guiding framework for designing, building, buying, and maintaining digital government services in Nova Scotia that emphasizes trust, inclusivity, sustainability, and public value.
This framework provides voluntary guidance to help employers use AI hiring technology in ways that are inclusive of people with disabilities, while aligning with federal risk management standards.
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 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 report provides supplemental estimates on how Public Law 119-21—tied to H.R. 1—will affect SNAP participation, benefits, and state administrative costs over 2025–2034.
A 2025 policy agenda outlining comprehensive federal and state recommendations to eliminate benefits cliffs and strengthen economic mobility for families transitioning off public assistance.
The report summarizes qualitative research and feedback from Tribal leaders and grant administrators to inform improvements in federal grant systems and processes.
U.S. Department of Health and Human Services (HHS)
A central hub of guidance, standards, and supporting documentation explaining how UK public sector bodies should record and publish information about algorithmic systems to ensure transparency and accountability.
A public summary of findings from an AI trust study showing how Canadians perceive and trust different AI designs on the official government website, particularly preferring custom, transparent AI experiences over general third-party AI tools.
A U.S. Digital Service blog report exploring the lived experiences of mothers seeking mental health care during pregnancy and postpartum, highlighting barriers in screening, diagnosis, and access to treatment.
