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.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
The second event in the Digital Service Network’s summer event series, Let’s Get Digital, focused on the City of Boston’s transformative journey to streamline its procurement processes.
This playbook shares best practices and innovations related to data and analytical approaches for improving grant outcomes. Equitable data practices improve the effectiveness and efficiency of federal program dollars through better resource allocation and more informed decision-making.
Issued on February 2, 2023, this Executive Order provides guidance to combat discrimination and advance equal opportunity, including by redressing unfair disparities and removing barriers to government programs and services.
The document outlines revisions to OMB's SPD No. 15, which updates the standards for collecting and presenting federal race and ethnicity data, including the integration of race and ethnicity questions, the addition of a MENA category, and requirements for more detailed data collection.
The article analyzes the impacts of Arkansas's Medicaid work requirements, finding that while coverage losses were reversed after the policy was halted, it did not improve employment and led to negative consequences such as increased medical debt and delayed care.
The story of Andrew Petrisin and the FLOW system demonstrates how the U.S. DOT successfully overcame barriers in government tech by building a collaborative, user-centered logistics platform that provided value to stakeholders during the 2021 supply chain crisis.
