Library
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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 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 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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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.
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Data Hawai’i Coordinating SNAP and Nutrition Supports Demonstration Project: Thriving Children Strong Families Project White Paper
This white paper documents Hawai'i's journey and lessons learned from their 18-month Coordinating SNAP and Nutrition Supports project which laid the foundation for interagency data-sharing and built capacity to analyze administrative data across nutrition programs--specifically SNAP and WIC.
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Data Hawai’i SNAP-WIC Data Sharing Memorandum of Agreement
This MOA outlines Hawai'i's legal data sharing agreement between the Women, Infants and Children Services Branch of the Department of Health (DOH/WIC), and the Benefit, Employment and Support Services Division of the Department of Human Services (DHS/BESSD) to exchange SNAP and WIC data.
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Data Hawai’i Thriving Children Strong Families Project Glossary
The Hawai'i Thriving Children Strong Families Project Glossary is a tool used to promote common understanding of core business concepts or terminologies used by the Department of Human Services' SNAP office and the Department of Health's WIC team to improve cross-program coordination and support SNAP-WIC data sharing across agencies.
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Data Hawai’i SNAP-WIC Data Sharing Framework
This artifact documents Hawai'i's SNAP-WIC data sharing framework developed in their Coordinating SNAP & Nutrition Supports project
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Policy Analysis TANF Data Collaborative Pilot: Analytical Tools for Education and Employment Services in Virginia
The Temporary Assistance for Needy Families (TANF) Data Collaborative Pilot Initiative is a component of the TANF Data Innovation project. The 30-month pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs in the routine use of TANF and other administrative data to inform policy and practice.
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Communications DA 23-62: FCC Declaratory Ruling on Telephone Consumer Protection Act of 1991 for Medicaid
Ruling from the FCC granting the U.S. Department of Health and Human Services (HHS) to confirm that federal and state governmental agencies working in conjunction with local governments, governmental contractors, and managed care entities acting under contract with state governments may, under certain circumstances, make autodialed and prerecorded or artificial voice calls or send autodialed text messages to raise awareness of the eligibility and enrollment requirements for these governmental health care programs without violating the Telephone Consumer Protection Act (TCPA).