Government Risk Profiling: Discrimination Risks Remain High

Margriet Vermeer · 2026-05-07

Government agencies increasingly rely on risk profiling to allocate resources and identify potential threats. But a recent study from the University of Amsterdam raises serious concerns. Without principled measures in place, the risk of discrimination and harm remains too great. Let's break down what this means and why it matters for social justice and civil rights. ### The Core Problem with Risk Profiling Risk profiling sounds like a neutral tool. You gather data, analyze patterns, and make predictions. But here's the thing: data isn't neutral. It reflects existing biases in our society. When governments use algorithms or statistical models to decide who gets flagged for extra scrutiny, they often end up targeting marginalized communities. Think about it this way. If past policing data shows more arrests in certain neighborhoods, a risk model might flag everyone from those areas as high-risk. That's not fair. It's a self-perpetuating cycle that punishes people for where they live or what they look like.  ### Why Principled Measures Matter The researchers at the University of Amsterdam argue that without clear ethical guardrails, risk profiling causes real harm. They're talking about things like: - **Transparency**: Citizens should know how profiling decisions are made. - **Accountability**: There must be oversight to catch biased outcomes. - **Proportionality**: The methods used shouldn't be more invasive than necessary. - **Non-discrimination**: Systems must actively prevent racial, ethnic, or socioeconomic bias. When these principles are missing, the consequences are severe. People get wrongly accused. Communities lose trust in institutions. And the government ends up wasting resources on false positives. ### Real-World Implications for the United States This isn't just an academic debate. In the U.S., risk profiling shows up in everything from airport security to child welfare investigations. For example, studies have found that facial recognition software misidentifies Black and Asian faces at higher rates than white faces. And predictive policing tools have been shown to over-police low-income neighborhoods. "Without principled measures, the risk of discrimination and harm remains too great," the researchers warn. That quote sums up the stakes. We're talking about people's freedom, privacy, and dignity hanging in the balance. ### What Needs to Change So what do we do about it? First, governments need to be honest about the limitations of their data. No algorithm is perfect. Second, they must involve communities in designing these systems. The people most affected by profiling should have a seat at the table. Third, we need independent audits. Not just internal reviews, but outside experts who can check for bias and recommend fixes. And finally, if a profiling tool can't meet basic fairness standards, it shouldn't be used at all. ### A Call for Action This is a moment for professionals in racism, politics, and social issues to push for change. Whether you work in policy, advocacy, or community organizing, you have a role to play. Start by asking hard questions: Who is being profiled? Why? And what safeguards are in place? The research from the University of Amsterdam is a wake-up call. Risk profiling isn't going away, but it can be done better. With principled measures, we can reduce harm and build systems that treat everyone with fairness.