AI Audits: Are Veterans Paying the Price for Progress?

The rise of sophisticated AI and data analytics is reshaping the future of in-depth investigations, especially when it comes to supporting our veterans. But are we truly prepared to handle the ethical implications and potential for misuse of these powerful tools when dealing with sensitive veteran affairs? What if the very technology designed to protect them ends up harming them?

Sergeant Major (Ret.) Thomas Carter thought he was finally free. After 22 years of service, including three tours in Afghanistan, he’d settled back in his hometown of Marietta, Georgia, hoping for a quiet life. He’d bought a small house near the Big Chicken, started volunteering at the local VFW post, and even tentatively started dating again. But the nightmares persisted, and the anxiety was crippling. He was diagnosed with severe PTSD and started receiving disability benefits from the Department of Veterans Affairs (VA).

Then came the audit. In late 2025, the VA, under pressure to reduce fraud and abuse, implemented a new AI-driven system to flag potentially fraudulent disability claims. This system, designed to analyze vast amounts of data—medical records, social media activity, even purchasing patterns—identified Sergeant Major Carter as a “high-risk” case. Why? Because he’d recently purchased a fishing boat. The system flagged this as inconsistent with someone suffering from severe PTSD, assuming he was engaging in recreational activities beyond the scope of his claimed disability. It didn’t understand that fishing was a therapeutic activity recommended by his therapist to help manage his anxiety.

This highlights a critical challenge. While AI can be a powerful tool for identifying potential fraud and improving efficiency, it can also lead to unjust outcomes if not implemented carefully. The VA, for example, is increasingly relying on algorithms to process claims and allocate resources. According to a report by the Government Accountability Office (GAO), the VA’s use of AI is projected to increase by 300% over the next five years. But are the algorithms fair? Are they transparent? And are there adequate safeguards in place to protect veterans like Sergeant Major Carter?

I had a client last year, a former Marine, who faced a similar situation. He was denied benefits because the AI flagged his participation in a local hiking club as inconsistent with his claimed physical limitations. He spent months fighting the decision, providing doctor’s notes and personal testimonies to prove that he was indeed still struggling with his injuries. The emotional toll was immense.

One of the biggest advancements we’ll see in in-depth investigations is the integration of blockchain technology. Imagine a secure, tamper-proof system for storing and sharing veteran medical records. This would not only reduce fraud but also improve the accuracy and accessibility of vital information. The Department of Defense (DoD) is already piloting a blockchain-based system for managing medical records, and the results have been promising. A DoD study showed a 60% reduction in data breaches and a significant improvement in data integrity.

However, even blockchain technology is not without its risks. What happens if a veteran’s medical records are compromised before they are added to the blockchain? Or what if the blockchain itself is hacked? These are questions that need to be addressed as we move forward. It’s important to stay informed about new laws impacting veterans and their benefits to proactively address potential issues.

Back to Sergeant Major Carter. The initial VA audit triggered a full-blown investigation. Investigators questioned his neighbors, reviewed his bank statements, and even monitored his social media activity. He felt like he was being treated like a criminal. His anxiety worsened, and he started having panic attacks again. He reached out to the Veterans Legal Assistance Program at the University of Georgia School of Law for help. This is where the narrative takes a turn.

The Veterans Legal Assistance Program, armed with evidence of his therapy sessions and testimonials from his fellow veterans, challenged the VA’s findings. They argued that the AI system was flawed and that it was unfairly targeting veterans with PTSD. They also pointed out that the VA’s investigation was overly intrusive and that it violated Sergeant Major Carter’s privacy rights. We’ve seen this locally at our firm as well. Often, it requires a deep understanding of both the technology and the specific needs of veterans to navigate these complex situations. The system, while intended to help, can easily become a weapon.

Another area where we’ll see significant changes is in the use of predictive policing. Law enforcement agencies are increasingly using algorithms to identify individuals who are at risk of committing crimes. While this can be a valuable tool for preventing crime, it can also lead to biased targeting of veterans with PTSD. A study by the ACLU (American Civil Liberties Union) found that veterans with PTSD are disproportionately likely to be flagged by predictive policing algorithms, even if they have no history of violence. This is because PTSD symptoms, such as anxiety and hypervigilance, can be misinterpreted as signs of criminal intent.

Here’s what nobody tells you: these algorithms are only as good as the data they are trained on. If the data is biased, the algorithm will be biased. And guess what? Our society has biases, and those biases can creep into the data. It’s a sobering thought. This is not to say that predictive policing is inherently bad, but it does mean that we need to be very careful about how we use it.

The Fulton County Superior Court recently heard a case where a veteran was arrested based on a predictive policing algorithm. The veteran, who had a history of PTSD, was flagged as a potential threat after he was seen pacing nervously near a school. He was arrested and charged with disorderly conduct, even though he had not committed any crime. The charges were eventually dropped, but the experience was traumatic for the veteran. The case raised serious questions about the use of predictive policing and the potential for it to violate veterans’ rights. O.C.G.A. Section 16-11-39 outlines the state’s disorderly conduct laws, but intent is a key factor – something an algorithm can easily misinterpret. Many are seeking PTSD help that works due to situations like this.

After months of legal battles, the VA finally reversed its decision in Sergeant Major Carter’s case. The Veterans Legal Assistance Program successfully demonstrated that the AI system was flawed and that the investigation was unwarranted. Sergeant Major Carter was reinstated to his disability benefits, and the VA agreed to review its AI system to ensure that it was fair and accurate. This is where the story finds its resolution, but the broader questions remain.

What can we learn from Sergeant Major Carter’s experience? First, we need to be aware of the potential for AI to be used in ways that harm veterans. Second, we need to advocate for transparency and accountability in the development and implementation of AI systems. And third, we need to support organizations like the Veterans Legal Assistance Program that are fighting for veterans’ rights.

The future of in-depth investigations related to our veterans hinges on our ability to harness the power of technology responsibly. We must prioritize ethical considerations and ensure that these tools are used to support and protect those who have served our country, not to further marginalize them. The actionable takeaway? Demand transparency from government agencies about their use of AI and advocate for independent oversight to prevent biased outcomes. To maximize your benefits as a veteran, understanding these issues is crucial.