The Digital Service Network (DSN) spoke with Daniel Soto, principal management analyst at the City of Santa Ana, to learn more about how digital service innovation can occur in government organizations without formally codified or centralized digital service teams.
The Digital Services Network (DSN) spoke with the director of the C+E Lab, Katie Fiore, and OOI chief of staff, Kai Feder, to learn more about the C+E Lab and its ongoing role in shifting the State’s approach to using marketing to better connect residents to programs and services.
In this updated primer, the DBN describes how identity proofing and authentication show up in public benefits applications and outlines equity and security concerns raised by common identity proofing and authentication methods.
The Policy2Code Prototyping Challenge explored utilizing generative AI technology to translate U.S. government policies for public benefits into plain language and code, culminating in a Demo Day where twelve teams showcased their projects for feedback and evaluation.
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 session from FormFest 2024 walked attendees through some of the major changes AI is bringing to form design. Learn about the National Head Start Association’s use of AI to reduce administrative burden and the Canadian Digital Service’s tips for protecting government applications systems from AI.
This session from FormFest 2024 features Arizona’s form improvement capacity building initiative and Massachusetts’ form improvements that were a result of the Delivering a Digital-First Public Experience act.
This brief analyzes the current state of federal and state government communication around benefits eligibility rules and policy and how these documents are being tracked and adapted into code by external organizations. This work includes comparisons between coded examples of policy and potential options for standardizing code based on established and emerging data standards, tools, and frameworks.
Building on our February 2022 report Benefit Eligibility Rules as Code: Reducing the Gap Between Policy and Service Delivery for the Safety Net, the Beeck Center’s Digital Benefits Network (DBN) hosted Rules as Code Demo Day on June 28, 2022 where there were eight demonstrations of projects and code followed by a collaborative problem solving session on how to continue advancing rules as code for the U.S. social safety net.
This book explores the current capabilities, future possibilities, and necessary governance for facial recognition technology. The report discusses legal, societal, and ethical implications of the technology, and recommends ways that federal agencies and others developing and deploying the technology can mitigate potential harms and enact more comprehensive safeguards.
National Academies of Sciences, Engineering, and Medicine
This report explores key questions that a focus on disability raises for the project of understanding the social implications of AI, and for ensuring that AI technologies don’t reproduce and extend histories of marginalization.
