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 is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
A comprehensive analysis of how government digital service teams document and communicate their impact across federal, state, and local levels. This report aims to identify key reporting trends and practices to help teams develop impact narratives that demonstrate their value to stakeholders.
This paper introduces a framework for algorithmic auditing that supports artificial intelligence system development end-to-end, to be applied throughout the internal organization development lifecycle.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
This course gives participants a substantive overview of the human-centered design framework and offers opportunities to practice applying concepts from the course to your work.
beta.gouv.fr, a French government incubator, developed Mes Aides, an online benefits simulator launched in 2014 to help residents assess their eligibility for various social programs, addressing the issue of unclaimed benefits. The tool, built with open-source technology, enabled users to quickly estimate their potential benefits but was later integrated into a broader platform in 2020 following internal government disputes over authority.
Understanding the strengths and weaknesses of the available low-code/no-code tools will help you pick the right tool for the job and balance their sometimes significant weaknesses with their tremendously valuable strengths.
This mainstage session from FormFest 2024 featured behind-the-scenes stories about the IRS’ work to turn tax forms from static PDFs into a user friendly digital experience.
This report analyzes the growing use of generative AI, particularly large language models, in enabling and scaling fraudulent activities, exploring the evolving tactics, risks, and potential countermeasures.
This report offers a critical framework for designing algorithmic impact assessments (AIAs) by drawing lessons from existing impact assessments in areas like environment, privacy, and human rights to ensure accountability and reduce algorithmic harms.
