VA Uses AI for Benefits Claims Under 'Automation' Label

The U.S. Department of Veterans Affairs is deploying artificial intelligence technologies to process disability benefits claims while describing the systems as "automation," a semantic shift that veterans advocates say obscures accountability and limits oversight.

According to a 2025 VA Privacy Impact Assessment, the agency's automation platform incorporates robotic process automation, optical character recognition, natural language processing, and AI to process veterans' benefits information and support claim adjudication decisions. By labeling these AI-driven systems as automation, the VA can characterize algorithmic errors as "automated errors" rather than AI failures, making them harder to investigate and challenge.

Why it matters

The distinction between "automation" and "AI" carries significant consequences for veterans navigating an already complex claims system. When errors occur in AI-driven adjudication, the semantic framing affects how mistakes are reported, investigated, and remedied. Veterans who receive incorrect denials face months or years of appeals without knowing whether algorithmic decision-making contributed to their case outcome. The terminology gap creates a transparency barrier that makes it difficult for veterans to understand what systems are evaluating their claims and on what basis decisions are being made.

The stakes for veterans

Tens of thousands of veterans enter the appeals process annually after initial claim denials. The VA's claims backlog has historically stretched resolution timelines to years, with some veterans waiting decades for final decisions. When AI systems influence these outcomes without clear disclosure, veterans lose the ability to meaningfully challenge the basis of decisions affecting their healthcare access and financial security.

The opacity extends beyond individual cases. Without explicit AI labeling, oversight bodies, journalists, and advocacy organizations face additional hurdles in tracking algorithmic performance, identifying systemic bias, or documenting error patterns across the veterans benefits system.

Technology deployment without disclosure

The VA's Privacy Impact Assessment reveals the scope of AI deployment across benefits processing. Natural language processing systems parse claim documentation, while robotic process automation handles financial transactions affecting millions of veterans. These technologies operate at the intersection of data analysis and decision support, directly influencing adjudication outcomes that determine whether veterans receive disability compensation, healthcare benefits, or pension payments.

The terminology choice appears deliberate. "Automation" suggests mechanical efficiency and routine processing, while "artificial intelligence" triggers heightened scrutiny around algorithmic bias, training data quality, and decision explainability. For an agency processing benefits claims for millions of veterans, the distinction shapes public perception and regulatory attention.

The concerns were detailed in an opinion piece by Benjamin Krause published in The Kansas City Star, which first reported on the VA's semantic approach to AI deployment in benefits processing.