Sarah Bargal provides an overview of AI, machine learning, and deep learning, illustrating their potential for both positive and negative applications, including authentication, adversarial attacks, deepfakes, generative models, personalization, and ethical concerns.
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
This resource outlines strategies for cross-enrollment outreach, which can break down silos between programs and reach applicants who may be eligible for under-enrolled benefits programs.
This resource contains specific examples that highlight the advantages of designing reusable code components, software tools, or design formats. This guide also illustrates the possibilities for connecting new components to existing system infrastructure.
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
The article discusses key takeaways from BenCon 2023, highlighting the importance of creating equitable and ethical public benefits technology. It emphasizes the need for tech solutions that address systemic inequalities, ensure accessibility, and promote inclusivity for underserved communities in accessing public services.
A recap of the two-day conference focused on charting the course to excellence in digital benefits delivery hosted at Georgetown University and online.
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include MAGI Medicaid.
