As the role of artificial intelligence (AI) in peacebuilding grows, so too does the need to address the fundamental biases embedded within the data that drive AI systems. Currently, over 90% of AI training datasets are sourced from Europe and North America, yet the majority of global conflicts occur outside these regions. This disparity creates a critical challenge: AI systems trained on data that reflects the Global North often fail to account for the realities of conflict in the Global South. This is particularly problematic in regions such as Africa, where traditional, community-based conflict resolution mechanisms are frequently overlooked in AI-driven peacebuilding strategies. The Organisation for Security and Co-operation in Europe (OSCE) has a key role to play in shifting this paradigm by fostering a more inclusive approach to data collection and model training, ensuring that AI systems reflect diverse cultural and governance practices. By collaborating with African institutions and local stakeholders, the OSCE can help to co-design AI models that are contextually relevant and effective in promoting peace in conflict-prone regions. This paper argues that for AI to truly serve as a tool for global peace, its development must be driven by a human-centric, culturally inclusive approach that amplifies the voices and perspectives of those most affected by conflict.