This article analyses ‘digital distortions’ in Rules as Code, which refer to disconnects between regulation and code that arise from interpretive choices in the encoding process.
Governments and leaders are required to regulate change while mitigating risk, so IFTF's Governance Futures Lab developed this decision-making guide for them. In a world where technologies are transforming faster than we can keep up, anticipatory governance is crucial in order to safeguard against both the intended and unintended effects of technological advances.
Comprehensive and sustained improvement in benefits access and customer experience requires changes across policy, operations, technology, staffing, procurement, and more. This guide offers a collection of actions and best practices for states to apply.
Through a field scan, this paper identifies emerging best practices as well as methods and tools that are becoming commonplace, and enumerates common barriers to leveraging algorithmic audits as effective accountability mechanisms.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
This report highlights lessons learned from improving economic stability and well-being outcomes for young parent families, focusing on interagency collaboration, community engagement, data-driven improvement, and aligned services to guide future efforts.
We continued Rules as Code Demo Day with Daniel Singer and Preston Cabe from Benefits Data Trust. Benefits Data Trust provides benefit outreach and application assistance services in seven states. Using Benefits Launch, their in-house interview and rules engine, they support two hundred contact center employees as they screen and apply thousands of clients each year. They also offer a self-service screener, Benefits Launch Express. Additionally, they offer an eligibility API to integrate with other services.
What Works Cities helps local governments improve residents’ lives by using data and evidence effectively to tackle pressing challenges. The Certification Assessment helps cities benchmark their progress and develop a roadmap for improvement.
This report explores the Maine Department of Labor’s (MDOL) remarkable response to this layoff through collaboration with the Peer Workforce Navigator project—a coalition of community-based organizations in partnership with the MDOL—which made a huge difference in the lives of these laid off workers. The report also examines aspects of the state’s unemployment insurance (UI) system that might be improved to account for similar situations in the future.
The vast fraud committed through the use of stolen and synthetic identities in UI programs has spotlighted the need for updated identity fraud detection mechanisms. As states are implementing new technologies and systems, they need to consider the ways in which they are impacting racial inequities in UI benefits.
This report contributes to the quantitative measurement of psychological burdens by examining a case study of a single social program: the Supplemental Nutrition Assistance Program, by considering new quantitative measures of the psychological burdens faced by SNAP applicants.
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
A primer by New America for government entities thinking about embracing open-source solutions. This report is based on interviews with experts in the field, the organization’s work on piloting open source projects with partners around the world, and a review of nearly 50 reports, documents, and resources on the creation and usage of open source software.
