This post argues that for the types of large-scale, organized fraud attacks that many state benefits systems saw during the pandemic, solutions grounded in cybersecurity methods may be far more effective than creating or adopting automated systems.
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
It is frequently assumed that when rules are implemented as code, a rules engine is necessary. However, it is possible for policy people and engineers to effectively work together to code logic that drives technological system without needing a mediating rules engine at all.
This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
In this piece, the Digital Benefits Network shares several sources—from journalistic pieces, to reports and academic articles—we’ve found useful and interesting in our reading on automation and artificial intelligence.
This blog introduces the GSA’s Public Benefits Studio, which partnered with agencies to build shared tools—starting with a multi-channel notifications service—to improve coordination and access across federal public benefits programs.
This article highlights how state unemployment insurance (UI) agencies are leveraging data to modernize systems and enhance access for unemployed workers.
This profile on the Centers for Medicare and Medicaid Services’ (CMS) Open Source Program Office, the first of its kind in the federal government, showcasing how it advances transparency, collaboration, and innovation across agencies through open source software.
A blog post outlining key strategies states can use to lower SNAP payment error rates, a priority given new fiscal penalties tied to error rates under recent federal law.
This page describes the agency’s investments in digital tools and services aimed at reducing friction in how people find, apply for, and maintain eligibility for federal benefits.
