What if AI can help us fight organized crime and corruption?

Organized crime undermines democracy and economic development across the globe. According to a recent report by the Global Initiative Against Transnational Organized Crime, 80% of the world’s population lives in countries with a high presence of criminal organizations. When these organizations grow through corruption, fighting them becomes even more difficult.

In this talk, computational criminologist Gian Maria Campedelli introduces a new approach that uses open data and machine learning to predict where—and when—criminal organizations in Italy are likely to infiltrate local governments. By revealing both the promises and the pitfalls of applying AI to the fight against corruption and organized crime, he invites us to imagine how modern technologies can empower citizens and help build a safer, fairer society.