Recapping the work and achievements of the Digital Benefits Network (DBN), Digital Service Network (DSN), and the State Chief Data Officers Network (CDO) in 2025.
An academic research paper introducing SHADES, a multilingual benchmark designed to evaluate how large language models (LLMs) generate and reinforce stereotypes across different languages and cultural contexts.
The A11y Jam opening session that introduces the April 2026 DOJ digital accessibility requirements and provides practical, plain-language guidance for government teams preparing for compliance.
The story of Andrew Petrisin and the FLOW system demonstrates how the U.S. DOT successfully overcame barriers in government tech by building a collaborative, user-centered logistics platform that provided value to stakeholders during the 2021 supply chain crisis.
This session from FormFest 2024 focused on human centered form improvements from the City of Reykjavik and the German Digital Service’s form simplification project.
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
The paper hopes to stimulate discussions towards an ethical protocol for better practice in BI experiments and provide a useful resource to those working on, or interested in, BI research.
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
This mainstage session from FormFest 2024 included conversations about form design, accessibility, user experience, and data collection to show how good forms can build trust and confidence in government.
The article discusses the phenomenon of model multiplicity in machine learning, arguing that developers should be legally obligated to search for less discriminatory algorithms (LDAs) to reduce disparities in algorithmic decision-making.
