Topic: Mitigating Harm + Bias
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POVERTY LAWGORITHMS: A Poverty Lawyer’s Guide to Fighting Automated Decision-Making Harms on Low-Income Communities
This guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
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The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government
This academic paper examines how federal privacy laws restrict data collection needed for assessing racial disparities, creating a tradeoff between protecting individual privacy and enabling algorithmic fairness in government programs.
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Enabling Principles for AI Governance
A report from the Center for Security and Emerging Technology (CSET) discussing enabling principles for artificial intelligence (AI) governance.
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Automated Decision-Making Systems and Discrimination
This guidebook offers an introduction to the risks of discrimination when using automated decision-making systems. This report also includes helpful definitions related to automation.
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Prioritizing Access and Safety Q&A on Service Design in Digital Identity
The Digital Benefit Network's Digital Identity Community of Practice held a session to hear considerations from civil rights technologists and human-centered design practitioners on ways to ensure program security while simultaneously promoting equity, enabling accessibility, and minimizing bias.
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The Role of AI in Equitable Government Decision-Making
This report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.
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Governing Digital Legal Systems: Insights on Artificial Intelligence and Rules as Code
This article explores how AI and Rules as Code are turning law into automated systems, including how governance focused on transparency, explainability, and risk management can ensure these digital legal frameworks stay reliable and fair.
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InnovateUS AI Workshop Archive
A comprehensive series of workshops and courses designed to equip public sector professionals with the knowledge and skills to responsibly integrate AI technologies into government operations.​
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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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To AI or Not To AI: A Practice Guide for Public Agencies to Decide Whether to Proceed with Artificial Intelligence
This guide helps public agencies assess whether to use AI by providing a structured framework to evaluate appropriateness, risks, and alternatives.
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Guidance for Inclusive AI
This resource helps individuals with aligning their work with the needs of the communities they wish to serve, while reducing the likelihood of harms and risks those communities may face due to the development and deployment of AI technologies.
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The Privacy-Bias Trade-Off
This policy brief explores how federal privacy laws like the Privacy Act of 1974 limit demographic data collection, undermining government efforts to conduct equity assessments and address algorithmic bias.