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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 Dispelling Myths About Artificial Intelligence for Government Service Delivery
Directed at government practitioners, this resource addresses common misconceptions about artificial intelligence (AI) and explains the current state of technology.
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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 Algorithmic Accountability: A Primer
The primer–originally prepared for the Progressive Congressional Caucus’ Tech Algorithm Briefing–explores the trade-offs and debates about algorithms and accountability across several key ethical dimensions, including fairness and bias; opacity and transparency; and lack of standards for auditing.
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Digital Identity Combatting Identify Fraud in Government Benefits Programs
This post argues that for the types of large-scale, organized fraud attacks that many state benefits systems saw during the pandemic, solutions grounded in cybersecurity methods may be far more effective than creating or adopting automated systems.
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Automation + AI NIST: AI Risk Management Framework
In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The framework is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.
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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 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 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 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 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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Automation + AI Agency Inventories of AI Use Cases
In accordance with Executive Order 13960, Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government, Federal agencies began publishing their first annual inventories of artificial intelligence (AI) use cases in June 2022 and the following months. On this page, users can access inventories published to date.