Signal › Contributors
Camille Moreau
I worked in Brussels before AI policy became fashionable. My first job was tracking digital markets legislation for a policy research group, which mostly meant reading draft text, watching lobbyists pretend a comma was existential, and learning that regulation moves slowly until it suddenly moves all at once.
In 2022, I joined a Paris-based AI startup as its first governance hire. The company built document automation tools for banks and insurers, which meant every product decision eventually became a compliance question. Could we explain the output? Could customers audit it? Could we prove where training data came from? Could sales promise something that the model, the legal team, and reality could all survive?
That experience changed how I think about AI regulation. The public debate treats policy as a constraint on innovation. Inside companies, good regulation is often a forcing function for better systems: cleaner data lineage, better evaluation, stronger incident response, and clearer accountability. The problem is that most companies discover this after the product is already in market.
I write about the operational side of AI policy: what the EU AI Act actually means for product teams, why model cards fail as governance artifacts, how procurement teams evaluate AI risk, and where compliance theater ends and real control begins. My bias is practical. If a policy cannot survive contact with a sprint planning meeting, it is not finished.
I live in Paris, close enough to Brussels to make day trips painful but possible. I have read more regulatory impact assessments than is healthy and have become very good at spotting the sentence everyone will fight about six months later.
Experience
- AI Governance Lead, Paris AI startup
- Policy Analyst, Brussels digital policy group
- Sciences Po