Organization: U.S. Government Accountability Office (GAO)
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Federal Agencies Need to Strengthen Online Identity Verification Processes
Remote identify proofing is the process federal agencies and other entities use to verify that the individuals who apply online for benefits and services are who they claim to be. If the applicant responds correctly to personal questions, their identity is considered to be verified. However, data stolen in recent breaches could be used fraudulently to respond to knowledge-based verification questions. Alternative methods are available that provide stronger security, but these methods may have limitations in cost, convenience, technological maturity, and they may not be viable for all segments of the public.
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Biometric Identification Technologies: Considerations to Address Information Gaps and Other Stakeholder Concerns
Biometric identification technologies—such as facial recognition and fingerprinting—can affect underserved communities, including low-income and minority communities. GAO interviewed academics, advocacy groups, and technology experts to find out how.
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Federal Customer Experience: OMB Has Taken Actions to Implement Cross-Agency Priority Goals
The 2021 President’s Management Agenda identified federal customer experience as a priority area for improvement. GAO was asked to review OMB and selected federal agencies’ efforts to improve federal customer experience.
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ID Verification Controls Simulator
This simulator, created by the Joint Financial Management and Improvement Program (JFMIP), allows users to model program performance for a hypothetical government program, based on different identity verification decisions. The simulator illustrates concepts from the JFMIP report on payment integrity.
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Medicaid Demonstrations: Information on Administrative Spending for Georgia Work Requirements
This report examines Georgia’s Medicaid demonstration testing work requirements—the only such active program in the nation—and provides detailed findings on administrative costs, implementation challenges, and federal oversight weaknesses.
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An Accountability Framework for Federal Agencies and Other Entities
This framework provides a structured approach for ensuring responsible and transparent use of AI systems across government, emphasizing governance, data integrity, performance evaluation, and continuous monitoring.