Development organizations and conflict experts struggle to manage the magnitude, complexity and persistent volatility that characterize contemporary crises. Conflicts evolve at such a rapid pace that the amount of data produced by conflict or crisis situations is simply overwhelming. Because of the sheer amount of data and the pace at which they are being produced, human beings are unable to track crisis evolutions and manage effective decision-making processes. Under these radically changing circumstances, artificial intelligence (AI) can help us understand, and even anticipate, the outbreak and evolution of a crisis. Human-in-the-loop (HITL) AI combines the power of machine learning with human intelligence to address complex issues. This brief presents examples from Afghanistan and Ukraine to showcase applications of HILT artificial intelligence in the sphere of conflict resolution, particularly emphasizing risk anticipation and violence prevention.