Resource Format: Report
-
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.
-
What Are Human Services, and How Do State Governments Structure Them?
This report examines how state governments organize and manage human services programs, analyzing various agency structures and their impact on service delivery and coordination with the health care sector.
-
Challenging the Use of Algorithm-driven Decision-making in Benefits Determinations Affecting People with Disabilities
This report analyzes lawsuits that have been filed within the past 10 years arising from the use of algorithm-driven systems to assess people’s eligibility for, or the distribution of, public benefits. It identifies key insights from the various cases into what went wrong and analyzes the legal arguments that plaintiffs have used to challenge those systems in court.
-
How States Can Improve Generative AI’s Role in Disability Empowerment
Recommendations for states to consider when working with AI vendors throughout the procurement and implementation process
-
Digital Identity in Public Benefits
In this updated primer, the DBN describes how identity proofing and authentication show up in public benefits applications and outlines equity and security concerns raised by common identity proofing and authentication methods.
-
Enhancing Cultural Responsiveness in Social Service Agencies
This OPRE brief provides strategies for enhancing cultural responsiveness in social service agencies, focusing on improving services for diverse communities through organizational change, staff development, and culturally informed program design.
-
Insights Into Hiring for Digital Service Teams
A report examining hiring practices, challenges, and lessons learned of digital service teams.
-
Red-Teaming in the Public Interest
This report explores how red-teaming practices can be adapted for generative AI in ways that serve the public interest.
-
How Would a State Cost Share Affect SNAP in a Recession?
This report analyzes how proposed state cost-sharing requirements for SNAP would impact benefit access and poverty during a recession, projecting significant risks to low-income households if states are unable to maintain SNAP funding.
-
Lessons from Pennsylvania’s Generative AI Pilot with ChatGPT
This report shares key findings from Pennsylvania’s pilot using ChatGPT Enterprise to explore generative AI in government work.
-
The Big Shift: An Analysis of the Local Cost of Federal Cuts
This report examines how recent federal spending cuts and policy changes are shifting costs onto county governments, potentially burdening local budgets and services.
-
AI and Government Workers: Use Cases in Public Administration
The report examines how AI deployment across state and local public administration such as chatbots, voice transcription, content summarization, and eligibility automation are reshaping government work.