Library
Discover the latest innovations, learn about promising practices, and find out what’s coming next with best-in-class resources from trusted sources.
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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 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 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 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 Introduction to the AI Guide for Government
A guide from the General Service Administration 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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Strategy City of San Jose IT Department Generative AI Guidelines
Guidelines on the use of generative AI in the City of San Jose, CA.
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Strategy City of Boston Interim Guidelines for Using Generative AI
Interim guidelines for the use of generative AI in the City of Boston, MA.
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Strategy City of Seattle Interim Generative AI Policy
Interim policy on the use of generative AI in the City of Seattle, WA.
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Data A Quick Guide to Data Equity: CDO Insights Brief
Guide with insights from state Chief Data Officers on how to drive data equity initiatives.
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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.