Topic: Privacy
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Task Force on Artificial Intelligence, Emerging Technology, and Disability Benefits: Phase One Report
This report offers a detailed assessment of how AI and emerging technologies could impact the Social Security Administration’s disability benefits determinations, recommending guardrails and principles to protect applicant rights, mitigate bias, and promote fairness.
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How to Protect Government Data with Privacy-Enhancing Technology
This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
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Digital Identity Verification: Best Practices for Public Agencies
This report offers best practices for public agencies implementing digital identity verification, emphasizing privacy, equity, and security in the delivery of government services.
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An international review of AI Governance Tools and suggestions for pathways forward
This report reviews global AI governance tools, highlighting their importance in ensuring trustworthy AI, while identifying gaps and risks in their effectiveness, and offering recommendations to improve their development, oversight, and integration into policy frameworks.
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The State Data Privacy Act
A sample compromise bill built on existing state laws that meaningfully protects privacy while encouraging innovation.
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Digital Services Playbook
The playbook outlines 13 essential principles for effective digital projects drawn from successful practices from the private and public sectors.
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Recommendation of the Council on the Governance of Digital Identity
The OECD's Recommendation on the Governance of Digital Identity, adopted on 8 June 2023, provides guidelines for member countries to establish secure and user-centric digital identity systems that enhance trust and facilitate access to online services.
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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.
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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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Sprint 1 Report | Michigan Cross-Enrollment | Increasing cross-enrollment between unemployment insurance and supporting benefits in Michigan
Lack of cross-enrollment between unemployment insurance and public benefits in Michigan leaves many claimants without essential support.
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Toolkit: Increasing WIC Coverage Through Cross-Program Data Matching and Targeted Outreach
The toolkit provides strategies for state and local WIC agencies to enhance enrollment by utilizing data from Medicaid and SNAP for cross-program data matching and targeted outreach.
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Matching Data Across Benefits Programs Can Increase WIC Enrollment
This case study highlights how states used data sharing and targeted outreach to boost WIC enrollment among Medicaid and SNAP participants, improving program reach and reducing disparities.