Resource Format: Report
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Disability, Bias, and AI
This report explores key questions that a focus on disability raises for the project of understanding the social implications of AI, and for ensuring that AI technologies don’t reproduce and extend histories of marginalization.
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Helping People with Low Incomes Navigate Benefit Cliffs: Lessons Learned Deploying a Marginal Tax Rate Calculator
This report details findings and lessons from a project to develop a calculator to help people anticipate how a change in earnings from employment would affect their net income and information on their estimated effective marginal tax rate.
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Working Together – A Roadmap to Human Services System Alignment for Young Families
APHSA established a working group to identify strengths, barriers, and opportunities for better system alignment in human services for young parents and children, leading to the development of a roadmap to support meaningful systems-level changes.
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Controlling Large Language Models: A Primer
Concerns over risks from generative artificial intelligence systems have increased significantly over the past year, driven in large part by the advent of increasingly capable large language models. But, how do AI developers attempt to control the outputs of these models? This primer outlines four commonly used techniques and explains why this objective is so challenging.
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Digital Authentication and Identity Proofing in MAGI Medicaid Applications
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include MAGI Medicaid.
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Establishing Emergency Cash Assistance Programs
A guide by New America to help cities and states set up cash assistance programs for their residents, based on the Alia Cares platform that the National Domestic Workers Alliance built to run their Coronavirus Cares Fund that provides emergency assistance for home care workers to support them in staying safe and at home to slow the spread of COVID.
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Improving Public Programs for Low-Income Tax Filers
A New America report examines the Volunteer Income Tax Assistance (VITA) program, highlighting its role in aiding low-income tax filers and offering recommendations to enhance public benefit access through improved tax filing assistance.
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Building a Stronger Foundation for American Families: Options for Child Tax Credit Reform
Our existing maze of family tax benefits — including the CTC, Earned Income Tax Credit (EITC), Child and Dependent Care Tax Credit (CDCTC), and head of household (HoH) filing status — has several structural deficiencies that make overhauling the system a prerequisite for any effort to boost support for families with children. The report offers several options for expanding and streamlining family tax benefits to address these issues.
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Medicaid Threats in the Upcoming Congress
This paper focuses on harmful legislative Medicaid proposals that have been floated in the past and that Congress should continue to resist.
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Re-Envisioning CCDF: Toward an Anti-Racist Child Care System That Serves Families & Educators
This brief offers a new, anti-racist vision for transforming the Child Care and Development Fund (CCDF) into a program that actively pushes back against structural racism and advances racial equity and economic prosperity for all families.
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Strategies to Support Young People’s Access to Public Benefits
This Urban Institute report identifies strategies to improve young people’s access to public benefits through targeted outreach, benefit navigation, cross-organizational partnerships, and streamlined eligibility processes.
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What Are Generative AI, Large Language Models, and Foundation Models?
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.