Service Delivery Area: Benefits
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Automation + AI ITEM 10: How a Small Legal Aid Team Took on Algorithmic Black Boxing at Their State’s Employment Agency (And Won)
In June 2022, Legal Aid of Arkansas won a significant victory in their ongoing work to compel Arkansas’ employment agency to disclose crucial details about how it uses automated decision-making systems to detect and adjudicate fraud.
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Automation + AI 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.
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Automation + AI Defining and Demystifying Automated Decision Systems
This article suggests that a lack of clear, shared definitions makes it harder for the public and policymakers to evaluate and regulate technical systems that may have significant impacts on communities and individuals by shaping access to benefits, opportunities, and liberty. It presents and evaluates a definition for automated decision systems, developed through workshops with interdisciplinary scholars and practitioners.
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Automation + AI Blueprint for an AI Bill of Rights
The White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence. These principles help provide guidance whenever automated systems can meaningfully impact the public’s rights, opportunities, or access to critical needs.
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Automation + AI Use Cases for Robotic Process Automation in UI Claims Processing
For the past year, modernization teams at the Department of Labor (DOL) have been helping states identify opportunities to automate rote, non-discretionary, manual tasks, with the goal of helping them speed up the time that it takes to process claims. This post provides more context on Robotic Process Automation (RPA) and potential use cases in unemployment insurance.
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Automation + AI Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy
This academic paper examines predictive optimization, a category of decision-making algorithms that use machine learning (ML) to predict future outcomes of interest about individuals. Through this examination, the authors explore how predictive optimization can raise concerns that make its use illegitimate and challenge claims about predictive optimization's accuracy, efficiency, and fairness.
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Automation + AI State of State AI Laws
This resource tracks state laws on AI at various stages of development and passage.
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Automation + AI Screened & Scored in the District of Columbia
This report explores how automated decision-making systems are being used in one jurisdiction: Washington, D.C.
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Automation + AI Artifice and Intelligence
This piece outlines the Privacy Center’s decision to stop using the words “artificial intelligence,” “AI,” and “machine learning” in their work.
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Automation + AI AI Guide for Government: A Living and Evolving Guide to the Application of Artificial Intelligence for the U.S. Federal Government
This guide is intended to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
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Data MOU for Data Sharing Between New Jersey Department of Human Services and New Jersey Department of Health
This MOU establishes data sharing protocols between New Jersey's WIC and SNAP programs.
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Policy Tackling the Time Tax: How the Federal Government Is Reducing Burdens to Accessing Critical Benefits and Services
This report summarizes progress made with agencies and members of the public to identify and reduce burdens that individuals, families, and small businesses face every day when interacting with government programs.