I Built a Free Python Tool to Spot Million-Euro Lawsuit Risks in Your AI
The AI revolution is here, but it’s walking through a legal minefield. While companies race to deploy AI in high-stakes fields like medicine and finance, a multi-trillion-dollar question looms: Who pays when the AI is wrong?
As a computer science student, I became obsessed with this question. The answer, buried in the dense text of new regulations like the EU’s landmark AI Act, is simple: you do.
The Act, and others like it, creates a new class of corporate liability. It’s not about the fines you get for non-compliance; it’s about the damages you pay to people who are harmed by your AI’s decisions. An AI that gives a faulty medical diagnosis or a biased loan rejection isn’t just a technical error — it’s a potential lawsuit that could cripple a company.
I realized that most developers building these incredible new AI tools are completely unaware of this risk. They’re focused on performance, not legal precedent. So, I decided to build a bridge between these two worlds.
