This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
Programs like Medicaid and SNAP are managed at the federal level, administered at the state level, and often executed at the local level. Because there are so many in-betweens, there is significant duplicated effort, demonstrating the need to simplify eligibility rules to facilitate easier implementation.
APHSA's President and CEO reflects on lessons and opportunities the COVID-19 pandemic highlighted and constructs a national narrative around the moment.
American Public Human Services Association (APHSA)
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.
This impact report showcases the office's initiatives and achievements in enhancing state government services through innovative, user-centered approaches.
This guide provides practical financing strategies for governments to build, maintain, and expand integrated data systems (IDS) and evaluation capacity using federal and non-federal funding sources.
This annual report details Massachusetts' strategic advancements in digital transformation, cybersecurity, and data services, emphasizing modernization efforts and enhanced constituent engagement.
Massachusetts Executive Office of Technology Services and Security (EOTSS)
