Government Risk Profiling: The Hidden Danger of Discrimination

Margriet Vermeer · 2026-05-07

Government agencies are increasingly using data-driven systems to predict who might commit crimes or pose security threats. But a new study from the University of Amsterdam warns that without careful safeguards, these tools can do more harm than good. The research highlights a troubling reality: even well-intentioned risk profiling can lead to discrimination against already marginalized communities. When algorithms and government policies rely on biased data or unclear standards, the consequences are real—and they fall hardest on the people who can least afford it. ### Why Risk Profiling Matters Risk profiling sounds like a neutral, technical process. In practice, it's anything but. Authorities use everything from arrest records to social media activity to flag individuals as potential threats. But here's the problem: those inputs often reflect existing inequalities. - Arrest data can be skewed by over-policing in certain neighborhoods - Social media monitoring can target specific racial or ethnic groups - Even "objective" metrics like zip codes can proxy for race or class When these biases go unchecked, the profiling system doesn't just predict risk—it creates it. People labeled as high-risk face more scrutiny, which leads to more arrests, which reinforces the original label. It's a vicious cycle.  ### The University of Amsterdam's Warning The University of Amsterdam study makes a clear point: without principled measures, the risk of discrimination and harm remains too great. The researchers argue that governments must adopt transparent, accountable frameworks before deploying these tools. They recommend several key safeguards: - Regular audits to check for bias in data and outcomes - Clear limits on what data can be collected and used - Independent oversight to ensure fairness - Meaningful recourse for people who are wrongly flagged Without these measures, the study warns, risk profiling becomes a modern form of redlining—quietly excluding people from opportunities based on factors they can't control.  ### What This Means for Professionals For those working in racism, politics, and social issues, this research is a call to action. If you're involved in policy, advocacy, or community work, you need to understand how these systems operate and where they fail. Ask hard questions: - Who is being disproportionately flagged by this system? - What data is being used, and where did it come from? - How can we ensure accountability when something goes wrong? The answers matter. Because when governments get risk profiling wrong, it's not just a technical glitch—it's a human rights issue. ### Moving Forward The University of Amsterdam study doesn't call for abandoning risk profiling entirely. Instead, it pushes for a more thoughtful approach. That means building systems that are transparent, fair, and accountable from the start. For professionals in this space, the takeaway is simple: don't wait for a crisis to demand change. Start asking the hard questions now. The people most affected by discrimination can't afford to wait.