Government Risk Profiling: The Hidden Danger of Discrimination

Margriet Vermeer · 2026-05-07

Government agencies use risk profiling to decide who gets flagged for extra scrutiny. It sounds efficient on paper. But when you dig deeper, the cracks start to show. Without clear rules and strong safeguards, these systems can cause real harm. They can reinforce bias, target minority groups, and erode public trust. ### What Is Risk Profiling? Risk profiling is a tool. Think of it like a filter that sorts people based on certain data points. Governments use it for things like border control, tax audits, and welfare checks. The goal is to spot potential problems before they happen. But here's the catch: the data used is often incomplete or biased. When that happens, the filter becomes a weapon. - **Data bias:** If historical data reflects past discrimination, the algorithm learns from it. - **Lack of transparency:** Many profiling systems are black boxes. No one knows exactly how decisions are made. - **No accountability:** When a system makes a mistake, who gets blamed? The machine? The programmer? The agency? ### The Real-World Impact Let's talk about what this looks like on the ground. In the United States, studies have shown that facial recognition software misidentifies people of color at higher rates. A 2019 study from MIT found that three major commercial systems had error rates of up to 34 percent for darker-skinned women, compared to less than 1 percent for lighter-skinned men. That's not a glitch. It's a pattern. Similar issues appear in predictive policing tools. They often send more officers into low-income neighborhoods, which leads to more arrests there, which feeds back into the algorithm. It becomes a cycle that's hard to break. > "Without principled measures, the risk of discrimination and harm remains too great." > — Researchers at the Universiteit van Amsterdam ### Why This Matters for Social Justice For professionals working in racism, politics, and social issues, this isn't just a tech problem. It's a civil rights problem. When the government uses biased tools, it can deny people jobs, housing, or even freedom. The stakes are high. Consider a scenario: A family is flagged by a welfare fraud detection system because their zip code has a high fraud rate. They're investigated, benefits are cut, and they struggle to make ends meet. Later, it turns out the system was wrong. But the damage is done. Trust in the system is broken. ### What Needs to Change So what can we do about it? First, we need principled measures. That means: - **Independent audits:** Systems should be tested for bias by outside experts. - **Transparency:** Agencies must explain how they profile people and what data they use. - **Community input:** People affected by these systems should have a voice in how they're designed. - **Legal safeguards:** Clear laws that ban discriminatory profiling and hold agencies accountable. It's not about abandoning technology. It's about using it responsibly. We have the tools to build fairer systems. We just need the will to do it. ### A Path Forward The conversation around risk profiling is evolving. More activists, researchers, and lawmakers are calling for change. And that's a good thing. But words aren't enough. We need action. That means pushing for legislation, funding oversight, and demanding that agencies put people before algorithms. If you work in this field, you already know how complex these issues are. But complexity isn't an excuse for inaction. Every step toward fairness counts. Every policy change matters. And every voice raised against discrimination makes a difference. Let's keep the pressure on. Because when the government profiles us, it should be based on facts, not fears. And it should never come at the cost of our rights.