Library
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Surveillance, Discretion and Governance in Automated Welfare
This academic article develops a framework for evaluating whether and how automated decision-making welfare systems introduce new harms and burdens for claimants, focusing on an example case from Germany.
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Algorithmic Accountability for the Public Sector
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
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Unpacking the White House blueprint for an AI Bill of Rights
On December 5, 2022, an expert panel, including representatives from the White House, unpacked what’s included in the AI Bill of Rights, and explored how to operationalize such guidance among consumers, developers, and other users designing and implementing automated decisions.
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Trustworthy AI (TAI) Playbook
This playbook provides federal agencies with guidance on implementing AI in a way that is ethical, transparent, and aligned with public trust principles.
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Technology in the public sector and the future of government work
This report explores technologies that have the potential to significantly affect employment and job quality in the public sector, the factors that drive choices about which technologies are adopted and how they are implemented, how technology will change the experience of public sector work, and what kinds of interventions can protect against potential downsides of technology use in the public sector. The report categories technologies into five overlapping categories including manual task automation, process automation, automated decision-making systems, integrated data systems, and electronic monitoring.
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Popular Support for Balancing Equity and Efficiency in Resource Allocation
This study examines public attitudes toward balancing equity and efficiency in algorithmic resource allocation, using online advertising for SNAP enrollment as a case study.
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I Am Not a Number
In early 2023, Wired magazine ran four pieces exploring the use of algorithms to identify fraud in public benefits and potential harms, deeply exploring cases from Europe.
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Human-Centered, Machine-Assisted: Ethically Deploying AI to Improve the Client Experience
In this interview, Code for America staff members share how client success, data science, and qualitative research teams work together to consider the responsible deployment of artificial intelligence (AI) in responding to clients who seek assistance with three products.
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Artificial Intelligence: Background, Selected Issues, and Policy Considerations
This report provides an overview of artificial intelligence (AI), key policy considerations, and federal government activities related to AI development and regulation.
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NIST AI Risk Management Framework (RMF 1.0)
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
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ITEM 10: How a Small Legal Aid Team Took on Algorithmic Black Boxing at Their State’s Employment Agency (And Won)
This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
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Government By Algorithm: Artificial Intelligence In Federal Administrative Agencies
Little is known about how agencies are currently using AI systems, and little attention has been devoted to how agencies acquire such tools or oversee their use.