Combatting Identity Fraud in Government Benefits Programs
This post argues that for the types of large-scale, organized fraud attacks that many state benefits systems saw during the pandemic, solutions grounded in cybersecurity methods may be far more effective than creating or adopting automated systems.
The document discusses how government agencies can better combat identity fraud in benefits programs by adopting proven cybersecurity methods rather than relying on AI-driven identity verification systems, which can inadvertently exclude legitimate applicants.
It emphasizes the importance of balancing fraud prevention with equitable access, warning that AI-based solutions may introduce bias and create barriers for those most in need of government assistance.
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